https://github.com/lixus7/Time-Series-Works-Conferences

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
https://github.com/lixus7/Time-Series-Works-Conferences
accident-detection anomaly-detection deep-learning demand-forecasting location multivariate-timeseries paper-list probabilistic-models spatio-temporal spatio-temporal-data spatio-temporal-modeling spatio-temporal-prediction time-series time-series-forecasting time-series-imputation time-series-prediction traffic-prediction travel-time-prediction
Last synced: about 1 year ago
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Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
Host: GitHub
URL: https://github.com/lixus7/Time-Series-Works-Conferences
Owner: lixus7
License: mit
Created: 2022-03-24T06:59:12.000Z (about 4 years ago)
Default Branch: main
Last Pushed: 2025-03-06T06:18:59.000Z (about 1 year ago)
Last Synced: 2025-03-06T07:35:07.264Z (about 1 year ago)
Topics: accident-detection, anomaly-detection, deep-learning, demand-forecasting, location, multivariate-timeseries, paper-list, probabilistic-models, spatio-temporal, spatio-temporal-data, spatio-temporal-modeling, spatio-temporal-prediction, time-series, time-series-forecasting, time-series-imputation, time-series-prediction, traffic-prediction, travel-time-prediction
Homepage:
Size: 4.14 MB
Stars: 869
Watchers: 23
Forks: 92
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: license
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README

          # Time-Series Works and Conferences

# Backlog (To do): KDD 2025, ...

**Visit our [GitHub Page](https://lixus7.github.io/Time-Series-Works-Conferences/) for a better view.**

Click here to jump to the Conferences page with more conference information.

or [AI ML Summary Github](https://github.com/Lionelsy/Conference-Accepted-Paper-List)

Some other nice time-series repositories:

[xiyuanzh/time-series-papers](https://github.com/xiyuanzh/time-series-papers)

[qingsongedu/awesome-AI-for-time-series-papers](https://github.com/qingsongedu/awesome-AI-for-time-series-papers)

[xuehaouwa/Awesome-Trajectory-Prediction](https://github.com/xuehaouwa/Awesome-Trajectory-Prediction)

[My Time-series Repo-Star List](https://github.com/stars/lixus7/lists/time-series-list)



      

      

      



> I have a strong interest in time-series research. Welcome to contact me for discussions and collaborative efforts.


 I am currently pursuing a doctoral degree in CSE of UNSW, Sydney, under the supervision of Prof. [Flora Salim](https://scholar.google.com.hk/citations?user=Yz35RSYAAAAJ&hl=zh-CN&oi=ao) and [Hao Xue](https://scholar.google.com.hk/citations?user=KwhLl7IAAAAJ&hl=zh-CN&oi=ao). I got the master degree under the supervision of Prof. [Xuan Song](https://scholar.google.com.hk/citations?user=_qCSLpMAAAAJ&hl=zh-CN&oi=ao), [Quanjun Chen](https://scholar.google.com.hk/citations?user=_PKwzTwAAAAJ&hl=zh-CN) and [Renhe Jiang](https://scholar.google.com.hk/citations?user=Yo2lwasAAAAJ&hl=zh-CN&oi=ao).

The task section has been completed and we will continue to update the methodology section. If you encounter any missing resources (papers/code) or errors, please don't hesitate to open an issue or make a pull request. Additionally, if you're interested in collaborating on this work, please feel free to contact me.

All papers are organized by task and methodology, including those not included in this GitHub repository, and are available for everyone to use on OneDrive and Google Drive (VPN required). 

[OneDrive](https://1drv.ms/u/s!Au2cJRs-_u93lDbLrSDkDy8htv2V?e=ftuaXd)

 

[Google Drive](https://drive.google.com/drive/folders/17bILWdDxUrufRp3yilYfoU5VKywwS1g6?usp=sharing)

To reduce repetition, some data are in abbreviated form. Some terms may not represent general interpretations and apply only to this repository.

|Full Name | Abbreviation|

|:--|:--|

| Adaptive GNN                       |  AGNN   |

| Attention                          |  Attn   |  

| AutoRegression(RNN,GRU,LSTM)       |  AR     |

| Controlled Differential Equations  |  CDE    |  

| Contrastive Learning               |  CL     |

| Encoder Decoder                    |  EncDec |  

| Ensemble                           |  Ens    |

| Feature Decomposed                 |  FeaD   |

| Federated   Learning               |  FL     |  

| Generative Adversarial Network     |  GAN    |

|  Graph Convolutional Network       |  GCN    |   

| Hour, Day, Week, Month, etc        |  HA     |

| Heterogeneous GNN                  |  HGNN   |

| Multiple Graph                     |  MGNN   |

| Memory                             |  Mem    |   

| Meta Learning                      |  MetaL  |   

| MultiTask                          |  MulT   |     

| Network Architechture Search       |  NAS    |  

| Ordinary Differential Equations    |  ODE    |

| Statistic                          |  Stat   |

| TCN (WaveNet)                      |  TCN    |   

| Temporal Graph Network             |  TGN    |   

| Transformer                        |  Trans  |  

| Transfer Learning                  |  TransL |    

| Variational Auto-Encoder           |  VAE    |

# Recent Time Series Works Grouped by Task

- Multivariable Time Series Forecasting

- Multivariable Probabilistic Time Series Forecasting

- Time Series Imputation

- Time Series Anomaly Detection

- Demand Prediction

- Time Series Generation

- Travel Time Estimation

- Traffic Location Prediction

- Event Prediction

- Stock Prediction

- Other Forecasting

  

# [Multivariable Time Series Forecasting](#content)

|  Task  |    Data |   Model  | Paper   |    Code    |   Publication    |

| :-: | :-: | :-: | :-: | :-: | - |

| Paper Nums:100+ |  |   |   |   |    |

| Multivariable |  [TimesNet_data](https://github.com/thuml/Time-Series-Library)   |    SSCNN | [Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting](https://proceedings.neurips.cc/paper_files/paper/2024/hash/7b122d0a0dcb1a86ffa25ccba154652b-Abstract-Conference.html) | [Pytorch](https://github.com/JLDeng/SSCNN)  
![Stars](https://img.shields.io/github/stars/JLDeng/SSCNN?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/JLDeng/SSCNN?color=critical&style=social)  | NIPS 2024

| Multivariable |  [TimesNet_data](https://github.com/thuml/Time-Series-Library)   |     | [Are Language Models Actually Useful for Time Series Forecasting?](https://openreview.net/forum?id=54NSHO0lFe) | [Pytorch](https://github.com/BennyTMT/LLMsForTimeSeries)  
![Stars](https://img.shields.io/github/stars/BennyTMT/LLMsForTimeSeries?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/BennyTMT/LLMsForTimeSeries?color=critical&style=social)  | NIPS 2024

| Multivariable |  [TimesNet_data](https://github.com/thuml/Time-Series-Library)   |    PGN | [PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting](https://openreview.net/forum?id=ypEamFKu2O&noteId=jpzTU4OIxe) | [Pytorch](https://github.com/Water2sea/TPGN)  
![Stars](https://img.shields.io/github/stars/Water2sea/TPGN?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/Water2sea/TPGN?color=critical&style=social)  | NIPS 2024

| Multivariable |  [TimesNet_data](https://github.com/thuml/Time-Series-Library)   |    CATS | [Are Self-Attentions Effective for Time Series Forecasting?](https://openreview.net/forum?id=iN43sJoib7&noteId=VrwF0T4VGH) | [Pytorch](https://github.com/dongbeank/CATS)  
![Stars](https://img.shields.io/github/stars/dongbeank/CATS?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/dongbeank/CATS?color=critical&style=social)  | NIPS 2024

| Multivariable |  [TimesNet_data](https://github.com/thuml/Time-Series-Library)   |    Attraos | [Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective](https://openreview.net/forum?id=fEYHZzN7kX) | [Pytorch](https://github.com/CityMind-Lab/NeurIPS24-Attraos)  
![Stars](https://img.shields.io/github/stars/CityMind-Lab/NeurIPS24-Attraos?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/CityMind-Lab/NeurIPS24-Attraos?color=critical&style=social)  | NIPS 2024

| Multivariable |  [TimesNet_data](https://github.com/thuml/Time-Series-Library)   |    Time-FFM | [Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting](https://openreview.net/forum?id=HS0faHRhWD) | [Pytorch](https://github.com/yuppielqx/Time-FFM)  
![Stars](https://img.shields.io/github/stars/yuppielqx/Time-FFM?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/yuppielqx/Time-FFM?color=critical&style=social)  | NIPS 2024

| Multivariable |  [TimesNet_data](https://github.com/thuml/Time-Series-Library)   |    Chimera | [Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models](https://openreview.net/forum?id=ncYGjx2vnE) | [Pytorch](https://github.com/ABehrouz/Chimera)  
![Stars](https://img.shields.io/github/stars/ABehrouz/Chimera?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/ABehrouz/Chimera?color=critical&style=social)  | NIPS 2024

| Multivariable |  [TimesNet_data](https://github.com/thuml/Time-Series-Library)   |    TimeXer | [TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables](https://openreview.net/forum?id=INAeUQ04lT) | [Pytorch](https://github.com/thuml/TimeXer)  
![Stars](https://img.shields.io/github/stars/thuml/TimeXer?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/thuml/TimeXer?color=critical&style=social)  | NIPS 2024

| Multivariable |  [TimesNet_data](https://github.com/thuml/Time-Series-Library)   |    MiTSformer| [Addressing Spatial-Temporal Heterogeneity: General Mixed Time Series Analysis via Latent Continuity Recovery and Alignment](https://openreview.net/forum?id=EMV8nIDZJn) | [Pytorch](https://github.com/chunhuiz/MiTSformer)  
![Stars](https://img.shields.io/github/stars/chunhuiz/MiTSformer?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/chunhuiz/MiTSformer?color=critical&style=social)  | NIPS 2024

| Multivariable |  [TimesNet_data](https://github.com/thuml/Time-Series-Library)   |    TTMs| [Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series](https://openreview.net/forum?id=3O5YCEWETq) | [Pytorch](https://github.com/ibm-granite/granite-tsfm)  
![Stars](https://img.shields.io/github/stars/ibm-granite/granite-tsfm?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/ibm-granite/granite-tsfm?color=critical&style=social)  | NIPS 2024

| Multivariable |  [TimesNet_data](https://github.com/thuml/Time-Series-Library)   |    Sumba| [Structured Matrix Basis for Multivariate Time Series Forecasting with Interpretable Dynamics](https://openreview.net/forum?id=co7DsOwcop) | [Pytorch](https://github.com/chenxiaodanhit/Sumba)  
![Stars](https://img.shields.io/github/stars/chenxiaodanhit/Sumba?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/chenxiaodanhit/Sumba?color=critical&style=social)  | NIPS 2024

| Multivariable |  [TimesNet_data](https://github.com/thuml/Time-Series-Library)   |    Peri-midFormer | [Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis](https://openreview.net/forum?id=5iUxMVJVEV) | [Pytorch](https://github.com/WuQiangXDU/Peri-midFormer)  
![Stars](https://img.shields.io/github/stars/WuQiangXDU/Peri-midFormer?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/WuQiangXDU/Peri-midFormer?color=critical&style=social)  | NIPS 2024

| Multivariable |  [TimesNet_data](https://github.com/thuml/Time-Series-Library)   |    Ada-MSHyper | [Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting](https://openreview.net/forum?id=RNbrIQ0se8) | [Pytorch](https://github.com/shangzongjiang/Ada-MSHyper)  
![Stars](https://img.shields.io/github/stars/shangzongjiang/Ada-MSHyper?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/shangzongjiang/Ada-MSHyper?color=critical&style=social)  | NIPS 2024

| Multivariable | ...  |    LPTM | [Large Pre-trained time series models for cross-domain Time series analysis tasks](https://openreview.net/forum?id=vMMzjCr5Zj) | [Pytorch](https://github.com/AdityaLab/LPTM)  
![Stars](https://img.shields.io/github/stars/AdityaLab/LPTM?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/AdityaLab/LPTM?color=critical&style=social)  | NIPS 2024

| Multivariable |  [TimesNet_data](https://github.com/thuml/Time-Series-Library)   |    CCM | [From Similarity to Superiority: Channel Clustering for Time Series Forecasting](https://openreview.net/forum?id=MDgn9aazo0) | [Pytorch](https://github.com/Graph-and-Geometric-Learning/TimeSeriesCCM)  
![Stars](https://img.shields.io/github/stars/Graph-and-Geometric-Learning/TimeSeriesCCM?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/Graph-and-Geometric-Learning/TimeSeriesCCM?color=critical&style=social)  | NIPS 2024

| Add News |  Electricity 
 Exchange  
 Traffic 
 Bitcoin  |     | [From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection](https://openreview.net/forum?id=DpByqSbdhI) | [Pytorch](https://github.com/ameliawong1996/From_News_to_Forecast)  
![Stars](https://img.shields.io/github/stars/ameliawong1996/From_News_to_Forecast?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/ameliawong1996/From_News_to_Forecast?color=critical&style=social)  | NIPS 2024

| Multivariable |  ImageBind 
 IMU2CLIP  
 IMUGPT 
 HARGPT 
 LLaVA |    UniMTS | [UniMTS: Unified Pre-training for Motion Time Series](https://openreview.net/forum?id=DpByqSbdhI) | [Pytorch](https://github.com/xiyuanzh/UniMTS)  
![Stars](https://img.shields.io/github/stars/xiyuanzh/UniMTS?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/xiyuanzh/UniMTS?color=critical&style=social)  | NIPS 2024

| Attack |  PEMS03 
 PEMS04  
 PEMS08 
 Weather 
 ETTm1 |    BackTime | [BackTime: Backdoor Attacks on Multivariate Time Series Forecasting](https://openreview.net/forum?id=y8HUXkwAOg) | [Pytorch](https://github.com/xiaolin-cs/BackTime)  
![Stars](https://img.shields.io/github/stars/xiaolin-cs/BackTime?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/xiaolin-cs/BackTime?color=critical&style=social)  | NIPS 2024

| Less data |  Electricity 
 Solar  
 Traffic 
 PEMS-BAY 
 METR-LA |    ChronoEpilogi | [ChronoEpilogi: Scalable Time Series Selection with Multiple Solutions](https://openreview.net/forum?id=y8HUXkwAOg) | [Pytorch](https://github.com/ev07/ChronoEpilogi)  
![Stars](https://img.shields.io/github/stars/ev07/ChronoEpilogi?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/ev07/ChronoEpilogi?color=critical&style=social)  | NIPS 2024

| Multivariable |   [TimesNet_data](https://github.com/thuml/Time-Series-Library)  |    FAN | [Frequency Adaptive Normalization For Non-stationary Time Series Forecasting](https://openreview.net/forum?id=T0axIflVDD) | [Pytorch](https://github.com/wayne155/FAN)  
![Stars](https://img.shields.io/github/stars/wayne155/FAN?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/wayne155/FAN?color=critical&style=social)  | NIPS 2024

| Multivariable |   [TimesNet_data](https://github.com/thuml/Time-Series-Library)  |    GLAFF | [Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective](https://openreview.net/forum?id=EY2agT920S) | [Pytorch](https://github.com/ForestsKing/GLAFF)  
![Stars](https://img.shields.io/github/stars/ForestsKing/GLAFF?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/ForestsKing/GLAFF?color=critical&style=social)  | NIPS 2024

| Multivariable |   [TimesNet_data](https://github.com/thuml/Time-Series-Library)  |    FilterNet | [FilterNet: Harnessing Frequency Filters for Time Series Forecasting](https://openreview.net/forum?id=ugL2D9idAD) | [Pytorch](https://github.com/aikunyi/FilterNet)  
![Stars](https://img.shields.io/github/stars/aikunyi/FilterNet?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/aikunyi/FilterNet?color=critical&style=social)  | NIPS 2024

| Multivariable |   [TimesNet_data](https://github.com/thuml/Time-Series-Library)  |    CycleNet | [CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns](https://openreview.net/forum?id=clBiQUgj4w) | [Pytorch](https://github.com/ACAT-SCUT/CycleNet)  
![Stars](https://img.shields.io/github/stars/ACAT-SCUT/CycleNet?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/ACAT-SCUT/CycleNet?color=critical&style=social)  | NIPS 2024

| Multivariable |   [TimesNet_data](https://github.com/thuml/Time-Series-Library)  |    RATD | [Retrieval-Augmented Diffusion Models for Time Series Forecasting](https://openreview.net/forum?id=dRJJt0Ji48&noteId=8wGyyvVUNr) | [Pytorch](https://github.com/stanliu96/RATD)  
![Stars](https://img.shields.io/github/stars/stanliu96/RATD?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/stanliu96/RATD?color=critical&style=social)  | NIPS 2024

| Multivariable |   [TimesNet_data](https://github.com/thuml/Time-Series-Library)  |    DDN | [DDN: Dual-domain Dynamic Normalization for Non-stationary Time Series Forecasting](https://openreview.net/forum?id=RVZfra6sZo) | [Pytorch](https://github.com/Hank0626/DDN)  
![Stars](https://img.shields.io/github/stars/Hank0626/DDN?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/Hank0626/DDN?color=critical&style=social)  | NIPS 2024

| Multivariable |   [TimesNet_data](https://github.com/thuml/Time-Series-Library)  |    FBM | [Rethinking Fourier Transform from A Basis Functions Perspective for Long-term Time Series Forecasting](https://openreview.net/forum?id=BAfKBkr8IP) | [Pytorch](https://github.com/runze1223/Fourier-Basis-Mapping)  
![Stars](https://img.shields.io/github/stars/runze1223/Fourier-Basis-Mapping?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/runze1223/Fourier-Basis-Mapping?color=critical&style=social)  | NIPS 2024

| Multivariable |   [TimesNet_data](https://github.com/thuml/Time-Series-Library)   |    BSA | [Introducing Spectral Attention for Long-Range Dependency in Time Series Forecasting](https://openreview.net/forum?id=dxyNVEBQMp) | [Pytorch](https://github.com/DJLee1208/BSA_2024)  
![Stars](https://img.shields.io/github/stars/DJLee1208/BSA_2024?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/DJLee1208/BSA_2024?color=critical&style=social)  | NIPS 2024

| Multivariable |  [TimesNet_data](https://github.com/thuml/Time-Series-Library)   |    DeformableTST | [DeformableTST: Transformer for Time Series Forecasting without Over-reliance on Patching](https://openreview.net/forum?id=B1Iq1EOiVU) | [Pytorch](https://github.com/luodhhh/DeformableTST)  
![Stars](https://img.shields.io/github/stars/luodhhh/DeformableTST?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/luodhhh/DeformableTST?color=critical&style=social)  | NIPS 2024

| Multivariable |  [TimesNet_data](https://github.com/thuml/Time-Series-Library)   |    SOFTS | [SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion](https://openreview.net/forum?id=89AUi5L1uA) | [Pytorch](https://github.com/Secilia-Cxy/SOFTS)  
![Stars](https://img.shields.io/github/stars/Secilia-Cxy/SOFTS?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/Secilia-Cxy/SOFTS?color=critical&style=social)  | NIPS 2024

| Multivariable |  [TimesNet_data](https://github.com/thuml/Time-Series-Library)   |     | [Scaling Law for Time Series Forecasting](https://openreview.net/forum?id=Cr2jEHJB9q) | [Pytorch](https://github.com/JingzheShi/ScalingLawForTimeSeriesForecasting)  
![Stars](https://img.shields.io/github/stars/JingzheShi/ScalingLawForTimeSeriesForecasting?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/JingzheShi/ScalingLawForTimeSeriesForecasting?color=critical&style=social)  | NIPS 2024

| Multivariable |  [TimesNet_data](https://github.com/thuml/Time-Series-Library)   |    AutoTimes | [AutoTimes: Autoregressive Time Series Forecasters via Large Language Models](https://openreview.net/forum?id=HS0faHRhWD) | [Pytorch](https://github.com/thuml/AutoTimes)  
![Stars](https://img.shields.io/github/stars/thuml/AutoTimes?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/thuml/AutoTimes?color=critical&style=social)  | NIPS 2024

| Multi Task |  [TimesNet_data](https://github.com/thuml/Time-Series-Library)   |    UniTS | [UniTS: A Unified Multi-Task Time Series Model](https://openreview.net/forum?id=nBOdYBptWW) | [Pytorch](https://github.com/mims-harvard/UniTS)  
![Stars](https://img.shields.io/github/stars/mims-harvard/UniTS?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/mims-harvard/UniTS?color=critical&style=social)  | NIPS 2024

| Foundation TS | ...   |    MOMENT | [MOMENT: A Family of Open Time-series Foundation Models](https://icml.cc/virtual/2024/poster/34530) | [Pytorch](https://github.com/moment-timeseries-foundation-model/moment)  
![Stars](https://img.shields.io/github/stars/moment-timeseries-foundation-model/moment?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/moment-timeseries-foundation-model/moment?color=critical&style=social)  | ICML 2024

| Multivariable |  [TimesNet_data](https://github.com/thuml/Time-Series-Library)   |    OSL | [An Analysis of Linear Time Series Forecasting Models](https://icml.cc/virtual/2024/poster/32697) | [Pytorch](https://github.com/sir-lab/linear-forecasting)  
![Stars](https://img.shields.io/github/stars/sir-lab/linear-forecasting?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/sir-lab/linear-forecasting?color=critical&style=social)  | ICML 2024

| Six |  [TimesNet_data](https://github.com/thuml/Time-Series-Library)   |    UP2ME | [UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework for Multivariate Time Series Analysis](https://icml.cc/virtual/2024/poster/33686) | [Pytorch](https://github.com/Thinklab-SJTU/UP2ME)  
![Stars](https://img.shields.io/github/stars/Thinklab-SJTU/UP2ME?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/Thinklab-SJTU/UP2ME?color=critical&style=social)  | ICML 2024

| Multivariable |  [TimesNet_data](https://github.com/thuml/Time-Series-Library)   |    SparseTSF | [SparseTSF: Modeling Long-term Time Series Forecasting with *1k* Parameters](https://openreview.net/forum?id=54NSHO0lFe) | [Pytorch](https://github.com/lss-1138/SparseTSF)  
![Stars](https://img.shields.io/github/stars/lss-1138/SparseTSF?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/lss-1138/SparseTSF?color=critical&style=social)  | ICML 2024

| Multivariable |  Electricity  
 PEMSD7M 
 BikeNYC 
 [TimesNet_data](https://github.com/thuml/Time-Series-Library)   |    SCNN | [Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting](https://ieeexplore.ieee.org/document/10457027) | [Pytorch](https://github.com/JLDeng/SCNN)  
![Stars](https://img.shields.io/github/stars/JLDeng/SCNN?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/JLDeng/SCNN?color=critical&style=social)  | TKDE 2024

| Multivariable |  [TimesNet_data](https://github.com/thuml/Time-Series-Library)   |    iTransformer | [iTransformer: Inverted Transformers Are Effective for Time Series Forecasting](https://openreview.net/forum?id=JePfAI8fah) | [Pytorch](https://github.com/thuml/iTransformer)  
![Stars](https://img.shields.io/github/stars/thuml/iTransformer?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/thuml/iTransformer?color=critical&style=social)  | ICLR 2024

| Multivariable | NorPool  
 Caiso  
 Traffic  
 Electricity   
 Weather  
 Exchange   
     ETT       
 Wind  |    mr-Diff | [Multi-Resolution Diffusion Models for Time Series Forecasting](https://openreview.net/forum?id=mmjnr0G8ZY) | None  | ICLR 2024

| Multivariable | ETT     
 Electricity   
 Weather 
 Traffic  
 Exchange  
 ILI  |    ModernTCN | [Multi-Resolution Diffusion Models for Time Series Forecasting](https://openreview.net/forum?id=vpJMJerXHU) | [Pytorch](https://github.com/luodhhh/ModernTCN)  
![Stars](https://img.shields.io/github/stars/luodhhh/ModernTCN?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/luodhhh/ModernTCN?color=critical&style=social)  | ICLR 2024

| Multivariable |   [TimesNet_data](https://github.com/thuml/Time-Series-Library)   |    Time-LLM | [Time-LLM: Time Series Forecasting by Reprogramming Large Language Models](https://openreview.net/forum?id=Unb5CVPtae) | [Pytorch](https://github.com/KimMeen/Time-LLM)  
![Stars](https://img.shields.io/github/stars/KimMeen/Time-LLM?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/KimMeen/Time-LLM?color=critical&style=social)  | ICLR 2024

| Multivariable |   [TimesNet_data](https://github.com/thuml/Time-Series-Library)   |   TEMPO | [TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting](https://openreview.net/forum?id=YH5w12OUuU) | [Pytorch](https://github.com/DC-research/TEMPO)  
![Stars](https://img.shields.io/github/stars/DC-research/TEMPO?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/DC-research/TEMPO?color=critical&style=social)  | ICLR 2024

| Multivariable |   [TimesNet_data](https://github.com/thuml/Time-Series-Library)   |   CARD | [CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting](https://openreview.net/forum?id=MJksrOhurE) | [Pytorch](https://github.com/wxie9/CARD)  
![Stars](https://img.shields.io/github/stars/wxie9/CARD?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/wxie9/CARD?color=critical&style=social)  | ICLR 2024

| Multivariable |   [TimesNet_data](https://github.com/thuml/Time-Series-Library)   |  ARM | [ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning](https://openreview.net/forum?id=JWpwDdVbaM) | None | ICLR 2024

| Multivariable |   [TimesNet_data](https://github.com/thuml/Time-Series-Library)   |  DAM | [DAM: Towards a Foundation Model for Forecasting](https://openreview.net/forum?id=4NhMhElWqP) | [None](https://openreview.net/attachment?id=4NhMhElWqP&name=supplementary_material) | ICLR 2024

| Multivariable |   [TimesNet_data](https://github.com/thuml/Time-Series-Library)  
 PEMS3478 |  TimeMixer | [TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting](https://openreview.net/forum?id=7oLshfEIC2) | [Pytorch](https://github.com/kwuking/TimeMixer)  
![Stars](https://img.shields.io/github/stars/kwuking/TimeMixer?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/kwuking/TimeMixer?color=critical&style=social)  | ICLR 2024

| Multivariable |   [TimesNet_data](https://github.com/thuml/Time-Series-Library)  |  PDF  | [Periodicity Decoupling Framework for Long-term Series Forecasting](https://openreview.net/forum?id=dp27P5HBBt) | [Pytorch](https://github.com/Hank0626/PDF)  
![Stars](https://img.shields.io/github/stars/Hank0626/PDF?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/Hank0626/PDF?color=critical&style=social)  | ICLR 2024

| Multivariable 
 Missing Value|  METR-LA  
 Electricity  
 PEMS 
 ETT 
 BeijingAir|  BiTGraph  | [Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values](https://openreview.net/forum?id=O9nZCwdGcG) | [Pytorch](https://github.com/chenxiaodanhit/BiTGraph)  
![Stars](https://img.shields.io/github/stars/chenxiaodanhit/BiTGraph?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/chenxiaodanhit/BiTGraph?color=critical&style=social)  | ICLR 2024

| Multivariable |   [TimesNet_data](https://github.com/thuml/Time-Series-Library)  
 PEMS08 |  LIFT  | [Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators](https://openreview.net/forum?id=JiTVtCUOpS) | [Pytorch](https://github.com/SJTU-Quant/LIFT)  
![Stars](https://img.shields.io/github/stars/SJTU-Quant/LIFT?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/SJTU-Quant/LIFT?color=critical&style=social)  | ICLR 2024

| Multivariable | ETT     
 Weather 
 ILI  
 Traffic   |    STanHop | [STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction](https://openreview.net/forum?id=6iwg437CZs) | [Pytorch](https://github.com/MAGICS-LAB/STanHop)  
![Stars](https://img.shields.io/github/stars/MAGICS-LAB/STanHop?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/MAGICS-LAB/STanHop?color=critical&style=social)  | ICLR 2024

| Multivariable | ETT     
 Weather  
 Electricity  
 Traffic 
 ILI    
 CloudCluster |    Pathformer | [Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting](https://openreview.net/forum?id=vpJMJerXHU) | [Pytorch](https://github.com/decisionintelligence/pathformer)  
![Stars](https://img.shields.io/github/stars/decisionintelligence/pathformer?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/decisionintelligence/pathformer?color=critical&style=social)  | ICLR 2024

| Multivariable |   [TimesNet_data](https://github.com/thuml/Time-Series-Library)   |    pits | [Learning to Embed Time Series Patches Independently](https://openreview.net/forum?id=vpJMJerXHU) | [Pytorch](https://github.com/seunghan96/pits)  
![Stars](https://img.shields.io/github/stars/seunghan96/pits?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/seunghan96/pits?color=critical&style=social)  | ICLR 2024

| Multivariable | ETT    
 Weather  
 Electricity  
 Traffic   |    FITS | [FITS: Modeling Time Series with 10k Parameters](https://openreview.net/forum?id=bWcnvZ3qMb) | [Pytorch](https://github.com/VEWOXIC/FITS)  
![Stars](https://img.shields.io/github/stars/VEWOXIC/FITS?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/VEWOXIC/FITS?color=critical&style=social)  | ICLR 2024

| Multivariable | ETT  
 Electricity    
 Weather  
 Lora   |    AutoTCL | [Parametric Augmentation for Time Series Contrastive Learnin](https://openreview.net/forum?id=EIPLdFy3vp) | [Pytorch](https://github.com/AslanDing/AutoTCL)  
![Stars](https://img.shields.io/github/stars/AslanDing/AutoTCL?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/AslanDing/AutoTCL?color=critical&style=social)  | ICLR 2024

| Multivariable | ETT    
 Exchange  
 ILI   |    GLIP | [Interpretable Sparse System Identification: Beyond Recent Deep Learning Techniques on Time-Series Prediction](https://openreview.net/forum?id=aFWUY3E7ws) | [Pytorch](https://openreview.net/attachment?id=aFWUY3E7ws&name=supplementary_material)   | ICLR 2024

| Multivariable | [TimesNet_data](https://github.com/thuml/Time-Series-Library)  |    Fredformer | [Fredformer: Frequency Debiased Transformer for Time Series Forecasting](https://dl.acm.org/doi/abs/10.1145/3637528.3671855) |  [Pytorch](https://github.com/chenzRG/Fredformer)  
![Stars](https://img.shields.io/github/stars/chenzRG/Fredformer?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/chenzRG/Fredformer?color=critical&style=social)  | KDD 2024

| Multivariable | [TimesNet_data](https://github.com/thuml/Time-Series-Library)  |    GPHT | [Generative Pretrained Hierarchical Transformer for Time Series Forecasting](https://dl.acm.org/doi/abs/10.1145/3637528.3671855) |  [Pytorch](https://github.com/icantnamemyself/GPHT)  
![Stars](https://img.shields.io/github/stars/icantnamemyself/GPHT?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/icantnamemyself/GPHT?color=critical&style=social)  | KDD 2024

| Multivariable | [TimesNet_data](https://github.com/thuml/Time-Series-Library)  |    FRNet | [FRNet: Frequency-based Rotation Network for Long-term Time Series Forecasting](https://dl.acm.org/doi/abs/10.1145/3637528.3671713) |  [Pytorch](https://github.com/SiriZhang45/FRNet)  
![Stars](https://img.shields.io/github/stars/SiriZhang45/FRNet?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/SiriZhang45/FRNet?color=critical&style=social)  | KDD 2024

| Missing MTS | METR-LA 
 PEMS-BAY 
 PEMS04 
 PEMS08 
 China AQI   |    GinAR | [GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing](https://dl.acm.org/doi/abs/10.1145/3637528.3672055) |  [Pytorch](https://github.com/GestaltCogTeam/GinAR)  
![Stars](https://img.shields.io/github/stars/GestaltCogTeam/GinAR?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/GestaltCogTeam/GinAR?color=critical&style=social)  | KDD 2024

| Multivariable | METR-LA 
 PEMS-BAY 
 PEMS04 
 
  PEMS07  PEMS08   |    HimNet | [Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting](https://dl.acm.org/doi/abs/10.1145/3637528.3671961) |  [Pytorch](https://github.com/XDZhelheim/HimNet)  
![Stars](https://img.shields.io/github/stars/XDZhelheim/HimNet?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/XDZhelheim/HimNet?color=critical&style=social)  | KDD 2024

| Multivariable | [TimesNet_data](https://github.com/thuml/Time-Series-Library)  |    CDS | [Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution Shift](https://dl.acm.org/doi/abs/10.1145/3637528.3671926) |  [Pytorch](https://github.com/HALF111/calibration_CDS)  
![Stars](https://img.shields.io/github/stars/HALF111/calibration_CDS?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/HALF111/calibration_CDS?color=critical&style=social)  | KDD 2024

| Foundation 
 Traffic | TaxiBJ 
 Crawd 
 BikeNYC 
 Cellular 
 TDrive 
 TrafficSH |    UniST | [UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction](https://dl.acm.org/doi/abs/10.1145/3637528.3671662) |  [Pytorch](https://github.com/tsinghua-fib-lab/UniST)  
![Stars](https://img.shields.io/github/stars/tsinghua-fib-lab/UniST?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/tsinghua-fib-lab/UniST?color=critical&style=social)  | KDD 2024

| Early 
 Traffic | METR-LA 
 EMS 
 NYPD  |    STEMO | [STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement Learning](https://dl.acm.org/doi/abs/10.1145/3637528.3671922) |  [Pytorch](https://github.com/coco0106/MO-STEP)  
![Stars](https://img.shields.io/github/stars/coco0106/MO-STEP?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/coco0106/MO-STEP?color=critical&style=social)  | KDD 2024

| New nodes 
 Traffic | Large-ST |    STONE | [STONE: A Spatio-temporal OOD Learning Framework Kills Both Spatial and Temporal Shifts](https://dl.acm.org/doi/abs/10.1145/3637528.3671680) |  [Pytorch](https://github.com/PoorOtterBob/STONE-KDD-2024)  
![Stars](https://img.shields.io/github/stars/PoorOtterBob/STONE-KDD-2024?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/PoorOtterBob/STONE-KDD-2024?color=critical&style=social)  | KDD 2024

| Irregular 
 Traffic | Zhuzhou 
 Baoding |    Aseer | [Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks](https://dl.acm.org/doi/abs/10.1145/3637528.3671665) |  [Pytorch](https://github.com/usail-hkust/ASeer)  
![Stars](https://img.shields.io/github/stars/usail-hkust/ASeer?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/usail-hkust/ASeer?color=critical&style=social)  | KDD 2024

| Multivariable | Stock 
 Exchange 
 Weather   |    CONTIME | [Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization](https://dl.acm.org/doi/abs/10.1145/3637528.3671969) |  [Pytorch](https://github.com/sheoyon-jhin/CONTIME)  
![Stars](https://img.shields.io/github/stars/sheoyon-jhin/CONTIME?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/sheoyon-jhin/CONTIME?color=critical&style=social)  | KDD 2024

| Multivariable | PEMS07 
 Large-ST  |    GWT | [Pre-Training Identification of Graph Winning Tickets in Adaptive Spatial-Temporal Graph Neural Networks](https://dl.acm.org/doi/abs/10.1145/3637528.3671912) |  [Pytorch](https://anonymous.4open.science/r/paper-1430)  | KDD 2024

| Large Scale   | Large-ST  |    RPMixer | [RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data](https://dl.acm.org/doi/abs/10.1145/3637528.3671881) |  [Pytorch](https://sites.google.com/view/rpmixer)   | KDD 2024

| Demand Supply 
 Prediction | Shanghai 
 Zhengzhou   |    MulSTE | [MulSTE: A Multi-view Spatio-temporal Learning Framework with Heterogeneous Event Fusion for Demand-supply Prediction](https://dl.acm.org/doi/abs/10.1145/3637528.3672030) |  [Pytorch](https://github.com/mulste-kdd2024/MulSTE)  
![Stars](https://img.shields.io/github/stars/mulste-kdd2024/MulSTE?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/mulste-kdd2024/MulSTE?color=critical&style=social)  | KDD 2024

| Multivariable | 108s   |    AutoXPCR | [AutoXPCR: Automated Multi-Objective Model Selection for Time Series Forecasting](https://dl.acm.org/doi/abs/10.1145/3637528.3672057) |  [TF](https://github.com/raphischer/xpcr)  
![Stars](https://img.shields.io/github/stars/raphischer/xpcr?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/raphischer/xpcr?color=critical&style=social)  | KDD 2024

| Multivariable |  [TimesNet_data](https://github.com/thuml/Time-Series-Library)   |    UniTime | [UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting](https://dl.acm.org/doi/abs/10.1145/3589334.3645434) | [Pytorch](https://github.com/liuxu77/UniTime)  
![Stars](https://img.shields.io/github/stars/liuxu77/UniTime?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/liuxu77/UniTime?color=critical&style=social)  | WWW 2024

| Multivariable | Ross 
 Saratoga 
  UpperPen  
 SFC  |    DAN | [Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series Forecasting](https://ojs.aaai.org/index.php/AAAI/article/view/27768) | [Pytorch](https://github.com/davidanastasiu/dan)  
![Stars](https://img.shields.io/github/stars/davidanastasiu/dan?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/davidanastasiu/dan?color=critical&style=social)  | AAAI 2024

| Multivariable | ILI 
 Weather 
  Traffic  
 Electricity 
  ETT 
 Exchange  |    HDMixer | [HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series Forecasting](https://ojs.aaai.org/index.php/AAAI/article/view/29155) | [Pytorch](https://github.com/hqh0728/HDMixer)  
![Stars](https://img.shields.io/github/stars/hqh0728/HDMixer?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/hqh0728/HDMixer?color=critical&style=social)  | AAAI 2024

| Multivariable |  PEMS03 
 PEMS04 
  PEMS07  
 PEMS08  
  England 
  TaxiBJ 
  PEMS-BAY  |  STPGNN  | [Spatio-Temporal Pivotal Graph Neural Networks for Traffic Flow Forecasting](https://ojs.aaai.org/index.php/AAAI/article/view/28707) | None  | AAAI 2024

| Multivariable | FD001 
 FD002 
  FD003  
 FD004  |    FC-STGNN | [Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data](https://ojs.aaai.org/index.php/AAAI/article/view/29500) | [Pytorch](https://github.com/Frank-Wang-oss/FCSTGNN)  
![Stars](https://img.shields.io/github/stars/Frank-Wang-oss/FCSTGNN?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/Frank-Wang-oss/FCSTGNN?color=critical&style=social)  | AAAI 2024

| Multivariable | PEMS04  
 PEMS08 
 blockchain  |   TMP-Nets  | [Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence](https://ojs.aaai.org/index.php/AAAI/article/view/29051) | None  | AAAI 2024

| Multivariable | METR-LA 
 PEMS-BAY   |  ModWaveMLP | [ModWaveMLP: MLP-Based Mode Decomposition and Wavelet Denoising Model to Defeat Complex Structures in Traffic Forecasting](https://ojs.aaai.org/index.php/AAAI/article/view/28753) | [TF](https://github.com/Kqingzheng/ModWaveMLP)  
![Stars](https://img.shields.io/github/stars/Kqingzheng/ModWaveMLP?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/Kqingzheng/ModWaveMLP?color=critical&style=social)  | AAAI 2024

| Multivariable |Flight    
 Weather  
 ETT 
  Electricity  
 Exchange   |  MSGNet | [MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting](https://ojs.aaai.org/index.php/AAAI/article/view/28991) | [Pytorch](https://github.com/YoZhibo/MSGNet)  
![Stars](https://img.shields.io/github/stars/YoZhibo/MSGNet?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/YoZhibo/MSGNet?color=critical&style=social)  | AAAI 2024

| Multivariable |  Self-PeMS  |  DLF | [Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective](https://ojs.aaai.org/index.php/AAAI/article/view/28759) | [Pytorch](https://github.com/wangbinwu13116175205/DLF)  
![Stars](https://img.shields.io/github/stars/wangbinwu13116175205/DLF?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/wangbinwu13116175205/DLF?color=critical&style=social)  | AAAI 2024

| Multivariable |ETT    
 Weather  
 ILI  
 Exchange   |   HTV-Trans | [Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting](https://ojs.aaai.org/index.php/AAAI/article/view/29483) | [Pytorch](https://github.com/flare200020/HTV_Trans)  
![Stars](https://img.shields.io/github/stars/flare200020/HTV_Trans?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/flare200020/HTV_Trans?color=critical&style=social)  | AAAI 2024

| Multivariable |A-share   
 Cross-Market  
 ETT   |  ST-DAN| [Adaptive Meta-Learning Probabilistic Inference Framework for Long Sequence Prediction](https://ojs.aaai.org/index.php/AAAI/article/view/29661) | [Pytorch](https://github.com/Zhu-JP/AMPIF)  
![Stars](https://img.shields.io/github/stars/Zhu-JP/AMPIF?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/Zhu-JP/AMPIF?color=critical&style=social)  | AAAI 2024

| Six  |  [TimesNet_data](https://github.com/thuml/Time-Series-Library)   |  CTRL | [An NCDE-based Framework for Universal Representation Learning of Time Series](https://www.ijcai.org/proceedings/2024/511) | [Pytorch](https://github.com/LiuZH-19/CTRL)  
![Stars](https://img.shields.io/github/stars/LiuZH-19/CTRL?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/LiuZH-19/CTRL?color=critical&style=social)  | IJCAI 2024

| Traffic  | PEMS3478   |  STD-MAE | [Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting](https://www.ijcai.org/proceedings/2024/442) | [Pytorch](https://github.com/Jimmy-7664/STD-MAE)  
![Stars](https://img.shields.io/github/stars/Jimmy-7664/STD-MAE?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/Jimmy-7664/STD-MAE?color=critical&style=social)  | IJCAI 2024

| Multivariable   |    [TimesNet_data](https://github.com/thuml/Time-Series-Library)   | DERITS | [Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting](https://www.ijcai.org/proceedings/2024/436) | None   | IJCAI 2024

| Multivariable   |    [TimesNet_data](https://github.com/thuml/Time-Series-Library)   | Skip-Timeformer | [Skip-Timeformer: Skip-Time Interaction Transformer for Long Sequence Time-Series Forecasting](https://www.ijcai.org/proceedings/2024/608) | None  | IJCAI 2024

| Multivariable   |    [TimesNet_data](https://github.com/thuml/Time-Series-Library)   | VCformer | [VCformer: Variable Correlation Transformer with Inherent Lagged Correlation for Multivariate Time Series Forecasting](https://www.ijcai.org/proceedings/2024/590) | [Pytorch](https://github.com/CSyyn/VCformer)  
![Stars](https://img.shields.io/github/stars/CSyyn/VCformer?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/CSyyn/VCformer?color=critical&style=social)  | IJCAI 2024

| Multivariable   |    [TimesNet_data](https://github.com/thuml/Time-Series-Library)   | LeRet | [LeRet: Language-Empowered Retentive Network for Time Series Forecasting](https://www.ijcai.org/proceedings/2024/460) | [Pytorch](https://github.com/hqh0728/LeRet)  
![Stars](https://img.shields.io/github/stars/hqh0728/LeRet?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/hqh0728/LeRet?color=critical&style=social)  | IJCAI 2024

| Missing Variate   |    METR-LA 
 Solar 
 Traffic 
 ECG5000  | SDformer | [SDformer: Transformer with Spectral Filter and Dynamic Attention for Multivariate Time Series Long-term Forecasting](https://www.ijcai.org/proceedings/2024/228) | None  | IJCAI 2024

| Traffic   |    METR-LA 
 PEMS-BAY 
 PEMSD7M  | DCST | [Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction](https://www.ijcai.org/proceedings/2024/288) | [Pytorch](https://github.com/ibizatomorrow/DCST)  
![Stars](https://img.shields.io/github/stars/ibizatomorrow/DCST?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/ibizatomorrow/DCST?color=critical&style=social)  | IJCAI 2024

| Traffic   |    METR-LA 
 PEMS-BAY   | ST-nFBST | [Full Bayesian Significance Testing for Neural Networks in Traffic Forecasting](https://www.ijcai.org/proceedings/2024/245) | [Pytorch](https://github.com/liuzh-buaa/ST-nFBST)  
![Stars](https://img.shields.io/github/stars/liuzh-buaa/ST-nFBST?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/liuzh-buaa/ST-nFBST?color=critical&style=social)  | IJCAI 2024

| multi-source  
  SSL |  BikeIn 
 BikeOut 
 TaxiIn 
 TaxiOut 
 Air  | MoSSL | [Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning](https://www.ijcai.org/proceedings/2024/223) | [Pytorch](https://github.com/beginner-sketch/MoSSL)  
![Stars](https://img.shields.io/github/stars/beginner-sketch/MoSSL?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/beginner-sketch/MoSSL?color=critical&style=social)  | IJCAI 2024

| Traffic 
 CrossCity  |    METR-LA 
 PEMS-BAY 
 DiDiCD 
 DiDiSZ  | pFedCTP  | [Personalized Federated Learning for Cross-City Traffic Prediction](https://www.ijcai.org/proceedings/2024/611) | [Pytorch](https://github.com/ZYuSdu/pFedCTP)  
![Stars](https://img.shields.io/github/stars/ZYuSdu/pFedCTP?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/ZYuSdu/pFedCTP?color=critical&style=social)  | IJCAI 2024

| Multivariable   |    [TimesNet_data](https://github.com/thuml/Time-Series-Library)   | SDformer | [SDformer: Transformer with Spectral Filter and Dynamic Attention for Multivariate Time Series Long-term Forecasting](https://www.ijcai.org/proceedings/2024/629) | [Pytorch](https://github.com/zhouziyu02/SDformer)  
![Stars](https://img.shields.io/github/stars/zhouziyu02/SDformer?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/zhouziyu02/SDformer?color=critical&style=social)  | IJCAI 2024

| Multivariable   |    [TimesNet_data](https://github.com/thuml/Time-Series-Library)   | SpecAR-Net | [SpecAR-Net: Spectrogram Analysis and Representation Network for Time Series](https://www.ijcai.org/proceedings/2024/433) | [Pytorch](https://github.com/Dongyi2go/SpecAR_Net)  
![Stars](https://img.shields.io/github/stars/Dongyi2go/SpecAR_Net?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/Dongyi2go/SpecAR_Net?color=critical&style=social)  | IJCAI 2024

| Multivariable   |    [TimesNet_data](https://github.com/thuml/Time-Series-Library)   | SCAT | [SCAT: A Time Series Forecasting with Spectral Central Alternating Transformers](https://www.ijcai.org/proceedings/2024/622) | None | IJCAI 2024

| Traffic  | Traffic 
 ECG 
  COVID-19 
 Wiki 
 Solar   | DIAN | [Decoupled Invariant Attention Network for Multivariate Time-series Forecasting](https://www.ijcai.org/proceedings/2024/275) | [Pytorch](https://github.com/xhh39/DIAN)  
![Stars](https://img.shields.io/github/stars/xhh39/DIAN?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/xhh39/DIAN?color=critical&style=social)  | IJCAI 2024

| Traffic  | Wave 
 Wind 
  Air   | EPL | [Self-adaptive Extreme Penalized Loss for Imbalanced Time Series Prediction](https://www.ijcai.org/proceedings/2024/568) | [Pytorch](https://github.com/Ldiper/EPL)  
![Stars](https://img.shields.io/github/stars/Ldiper/EPL?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/Ldiper/EPL?color=critical&style=social)  | IJCAI 2024

| Multivariable | ETT 
 Electricity 
  Traffic  
 Weather   
 Exchange  |    U-Mixer | [U-Mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series Forecasting](https://ojs.aaai.org/index.php/AAAI/article/view/29337) | None | AAAI 2024

| Irregular  |USHCN    
 MIMIC-III  
 MIMIC-IV  
 Physionet-12   |  GraFITi | [GraFITi: Graphs for Forecasting Irregularly Sampled Time Series](https://ojs.aaai.org/index.php/AAAI/article/view/29560) | [Pytorch](https://github.com/yalavarthivk/GraFITi)  
![Stars](https://img.shields.io/github/stars/yalavarthivk/GraFITi?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/yalavarthivk/GraFITi?color=critical&style=social)  | AAAI 2024

| Traffic 
 Flow |  PEMS03 
 PEMS04 
 PEMS07 
 PEMS08  | MultiSPANS  | [MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy Optimization](https://dl.acm.org/doi/10.1145/3616855.3635820) |  [Pytorch](https://github.com/SELGroup/MultiSPANS)  
![Stars](https://img.shields.io/github/stars/SELGroup/MultiSPANS?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/SELGroup/MultiSPANS?color=critical&style=social)   | WSDM 2024

| Multivariable | SIP  
 NYC   
 METR-LA  | CreST  | [CreST: A Credible Spatiotemporal Learning Framework for Uncertainty-aware Traffic Forecasting](https://dl.acm.org/doi/10.1145/3616855.3635759) | None  | WSDM 2024

| Multivariable | Web Traffic  
 Labour   
 Traffic 
  Tourism   | HTS  | [NeuralReconciler for Hierarchical Time Series Forecasting](https://dl.acm.org/doi/10.1145/3616855.3635806) | None  | WSDM 2024

| Multivariable | NYC13    
 BikeNYC   
 Chicago21  
  Chicago22   | CityCAN  | [CityCAN: Causal Attention Network for Citywide Spatio-Temporal Forecasting](https://dl.acm.org/doi/10.1145/3616855.3635764) | None  | WSDM 2024

| Multivariable |  Solar 
 Wiki 
  Traffic 
 ECG 
 Electricity  
  COVID-19   
 Weather  
  ETT |    FreTS | [Frequency-domain MLPs are More Effective Learners in Time Series Forecasting](https://proceedings.neurips.cc/paper_files/paper/2023/hash/f1d16af76939f476b5f040fd1398c0a3-Abstract-Conference.html) | [Pytorch](https://github.com/aikunyi/FreTS)  
![Stars](https://img.shields.io/github/stars/aikunyi/FreTS?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/aikunyi/FreTS?color=critical&style=social)  | NIPS 2023

| LLM4TS 
 Zero Shot |  Darts  
 Monash  
  Informer   |    - | [Large Language Models Are Zero-Shot Time Series Forecasters](https://proceedings.neurips.cc/paper_files/paper/2023/hash/3eb7ca52e8207697361b2c0fb3926511-Abstract-Conference.html) | [LLM](https://github.com/ngruver/llmtime)  
![Stars](https://img.shields.io/github/stars/ngruver/llmtime?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/ngruver/llmtime?color=critical&style=social)  | NIPS 2023

| Zero Shot |  ECL  
ETT  
 Exchange 
 ILI 
 Traffic   
   Weather    |    ForecastPFN | [ForecastPFN: Synthetically-Trained Zero-Shot Forecasting](https://proceedings.neurips.cc/paper_files/paper/2023/hash/0731f0e65559059eb9cd9d6f44ce2dd8-Abstract-Conference.html) | [TF](https://github.com/abacusai/forecastpfn)  
![Stars](https://img.shields.io/github/stars/abacusai/forecastpfn?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/abacusai/forecastpfn?color=critical&style=social)  | NIPS 2023

| Multivariable |  ECL   
  Traffic  
ETT 
   Weather    |    WITRAN | [WITRAN: Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecasting](https://proceedings.neurips.cc/paper_files/paper/2023/hash/2938ad0434a6506b125d8adaff084a4a-Abstract-Conference.html) | [Pytorch](https://github.com/Water2sea/WITRAN)  
![Stars](https://img.shields.io/github/stars/Water2sea/WITRAN?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/Water2sea/WITRAN?color=critical&style=social)  | NIPS 2023

| Multivariable |  ETT  
  Weather   
  PEMS03 
 PEMS04 
  PEMS07  
 PEMS08    |    Neural Lad | [Neural Lad: A Neural Latent Dynamics Framework for Times Series Modeling](https://openreview.net/forum?id=bISkJSa5Td) | None | NIPS 2023

| Multivariable |  ETT  
 Weather  
  Electricity   |    OneNet | [OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling](https://proceedings.neurips.cc/paper_files/paper/2023/hash/dd6a47bc0aad6f34aa5e77706d90cdc4-Abstract-Conference.html) | [Pytorch](https://github.com/yfzhang114/OneNet)  
![Stars](https://img.shields.io/github/stars/yfzhang114/OneNet?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/yfzhang114/OneNet?color=critical&style=social)  | NIPS 2023

| Multivariable 
 Solar Irradiance|  CAB 
 TAM  |    CrossViVit | [Improving day-ahead Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context](https://openreview.net/forum?id=x5ZruOa4ax) | [Pytorch](https://github.com/gitbooo/CrossViVit)  
![Stars](https://img.shields.io/github/stars/gitbooo/CrossViVit?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/gitbooo/CrossViVit?color=critical&style=social)  | NIPS 2023

| Multivariable |  ECL  
ETT 
 Exchange 
  ILI 
  Traffic  
  Weather    |    Koopa | [Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors](https://proceedings.neurips.cc/paper_files/paper/2023/hash/dd6a47bc0aad6f34aa5e77706d90cdc4-Abstract-Conference.html) | [Pytorch](https://github.com/thuml/Koopa)  
![Stars](https://img.shields.io/github/stars/thuml/Koopa?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/thuml/Koopa?color=critical&style=social)  | NIPS 2023

| Multivariable | GPVAR 
 METR-LA 
 PEMS-BAY 
 PEMS03 
 PEMS04 
  PEMS07  
 PEMS08  
 CER-E
AQI     |    TTS-IMP | [Taming Local Effects in Graph-based Spatiotemporal Forecasting](https://openreview.net/forum?id=x2PH6q32LR) | [Pytorch](https://github.com/Graph-Machine-Learning-Group/taming-local-effects-stgnns)  
![Stars](https://img.shields.io/github/stars/Graph-Machine-Learning-Group/taming-local-effects-stgnns?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/Graph-Machine-Learning-Group/taming-local-effects-stgnns?color=critical&style=social)  | NIPS 2023

| Multivariable |  PEMS08 
 AIR-BJ 
  AIR-GZ     |    CaST | [Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment](https://openreview.net/forum?id=17Zkztjlgt) | [Pytorch](https://github.com/yutong-xia/CaST)  
![Stars](https://img.shields.io/github/stars/yutong-xia/CaST?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/yutong-xia/CaST?color=critical&style=social)  | NIPS 2023

| Multivariable |  PEMS08 
 METR-LA 
  NYC Taxi 
 NYC Bike     |    GPT-ST | [GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks](https://openreview.net/forum?id=nMH5cUaSj8) | [Pytorch](https://github.com/HKUDS/GPT-ST)  
![Stars](https://img.shields.io/github/stars/HKUDS/GPT-ST?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/HKUDS/GPT-ST?color=critical&style=social)  | NIPS 2023

| Multivariable |  Solar  
 Wiki 
 Traffic 
 COVID-19     |    FourierGNN | [FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective](https://proceedings.neurips.cc/paper_files/paper/2023/hash/dc1e32dd3eb381dbc71482f6a96cbf86-Abstract-Conference.html) | [Pytorch](https://github.com/aikunyi/FourierGNN)  
![Stars](https://img.shields.io/github/stars/aikunyi/FourierGNN?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/aikunyi/FourierGNN?color=critical&style=social)  | NIPS 2023

| Multivariable | ETT  
   Weather  
 Electricity  
 Traffic    |    SimMTM | [SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling](https://proceedings.neurips.cc/paper_files/paper/2023/hash/5f9bfdfe3685e4ccdbc0e7fb29cccf2a-Abstract-Conference.html) | [Pytorch](https://github.com/thuml/SimMTM)  
![Stars](https://img.shields.io/github/stars/thuml/SimMTM?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/thuml/SimMTM?color=critical&style=social)  | NIPS 2023

| Multivariable | ETT 
 Electricity  
  Exchange  
  Traffic  
  Weather   
  ILI   |    BasisFormer | [BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis](https://proceedings.neurips.cc/paper_files/paper/2023/hash/e150e6d0a1e5214740c39c6e4503ba7a-Abstract-Conference.html) | [Pytorch](https://github.com/nzl5116190/Basisformer)  
![Stars](https://img.shields.io/github/stars/nzl5116190/Basisformer?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/nzl5116190/Basisformer?color=critical&style=social)  | NIPS 2023

| Irregular |  Neonate  
 Traffic  
  MIMIC 
  StackOverflow 
 BookOrder 
 Exchange 
 ETT 
 ILI
  Weather|    ContiFormer | [ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling](https://proceedings.neurips.cc/paper_files/paper/2023/hash/9328208f88ec69420031647e6ff97727-Abstract-Conference.html) | [Pytorch](https://github.com/microsoft/SeqML/tree/main/ContiFormer)   | NIPS 2023

| Multivariable |  Electricity 
 Exchange 
 Traffic 
  Weather  
  ILI  
 ETT  |    SAN | [Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective](https://proceedings.neurips.cc/paper_files/paper/2023/hash/2e19dab94882bc95ed094c4399cfda02-Abstract-Conference.html) | [Pytorch](https://github.com/icantnamemyself/SAN)  
![Stars](https://img.shields.io/github/stars/icantnamemyself/SAN?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/icantnamemyself/SAN?color=critical&style=social)  | NIPS 2023

| Multivariable |  ETT  
 Electricity 
 Exchange 
 Traffic  
  Weather  
  ILI   |    DeepTime (Framework, 
 Fourier Features, 
 Meta-optimization)| [ Learning Deep Time-index Models for Time Series Forecasting](https://openreview.net/forum?id=pgcfCCNQXO) | [Pytorch](https://github.com/salesforce/DeepTime)  
![Stars](https://img.shields.io/github/stars/salesforce/DeepTime?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/salesforce/DeepTime?color=critical&style=social)  | ICML 2023

| Multivariable |  Crime 
 CHI-Taxi  
 NYC-Bike 
 NYC-Taxi
 CHI-House
 NYC-House    |  GraphST | [Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation](https://openreview.net/forum?id=LVARH5wXM9) | [Pytorch](https://github.com/HKUDS/GraphST)  
![Stars](https://img.shields.io/github/stars/HKUDS/GraphST?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/HKUDS/GraphST?color=critical&style=social)  | ICML 2023

| Multivariable |  Synthetic 
 Taxi  
 Electricity 
 Traffic    |    FeatureP (Feature Enhancement) | [Feature Programming for Multivariate Time Series Prediction](https://openreview.net/forum?id=LVARH5wXM9) | [Pytorch](https://github.com/SirAlex900/FeatureProgramming)  
![Stars](https://img.shields.io/github/stars/SirAlex900/FeatureProgramming?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/SirAlex900/FeatureProgramming?color=critical&style=social)  | ICML 2023

| Multivariable |  NorPool  
 Caiso  
 Weather  
  ETT   
 Wind 
 Traffic  
 Electricity  
 Exchange |    TimeDiff    | [Non-autoregressive Conditional Diffusion Models for Time Series Prediction](https://openreview.net/forum?id=wZsnZkviro) | None| ICML 2023

| Multivariable | ETT 
 Electricity 
 Exchange 
 Traffic  
 Weather  
  ILI  |    MICN    | [MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting](https://openreview.net/forum?id=zt53IDUR1U) | [Pytorch](https://github.com/wanghq21/MICN)  
![Stars](https://img.shields.io/github/stars/wanghq21/MICN?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/wanghq21/MICN?color=critical&style=social) | ICLR 2023

| Multivariable | ETT 
 Weather 
 Electricity 
  ILI  
 Traffic    |    Crossformer    | [Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting](https://openreview.net/forum?id=vSVLM2j9eie) | [Pytorch](https://github.com/Thinklab-SJTU/Crossformer)  
![Stars](https://img.shields.io/github/stars/Thinklab-SJTU/Crossformer?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/Thinklab-SJTU/Crossformer?color=critical&style=social)  | ICLR 2023

| Forecast 
 Imputation 
 Classifi  
 AnomalyDet | ETT 
 M4 
 Electricity 
  Weather  
SMD,MSL 
 SMAP,SWaT 
 PSM  |    TimesNet    | [TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis](https://openreview.net/forum?id=ju_Uqw384Oq) | [Pytorch](https://github.com/thuml/Time-Series-Library) 
![Stars](https://img.shields.io/github/stars/thuml/Time-Series-Library?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/thuml/Time-Series-Library?color=critical&style=social) | ICLR 2023

| Multivariable |  |    Meta-SSM    | [Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting](https://openreview.net/forum?id=7C9aRX2nBf2) | [Pytorch](https://github.com/john-x-jiang/meta_ssm) 
![Stars](https://img.shields.io/github/stars/john-x-jiang/meta_ssm?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/john-x-jiang/meta_ssm?color=critical&style=social) | ICLR 2023

| Multivariable |  ETT 
 Electricity  
 Traffic  
 Weather  |   FSNet   | [Learning Fast and Slow for Time Series Forecasting](https://openreview.net/forum?id=q-PbpHD3EOk) | [Pytorch](https://github.com/salesforce/fsnet) 
![Stars](https://img.shields.io/github/stars/salesforce/fsnet?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/salesforce/fsnet?color=critical&style=social) | ICLR 2023

| Robust 
 Multivariable |  Traffic 
 Taxi  
 Wiki  
 Electricity  |        | [Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms](https://openreview.net/forum?id=ctmLBs8lITa) | [Amazon](https://github.com/awslabs/gluonts/tree/dev/src/gluonts/nursery) | ICLR 2023

| Multivariable |  Electricity 
 Crypto  
 M4  
 Traffic 
 Exchange |   KNF     | [Koopman Neural Operator Forecaster for Time-series with Temporal Distributional Shifts](https://openreview.net/forum?id=kUmdmHxK5N) | [Pytorch](https://github.com/google-research/google-research/tree/master/KNF) 
![Stars](https://img.shields.io/github/stars/google-research/google-research/tree/master/KNF?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/google-research/google-research/tree/master/KNF?color=critical&style=social) | ICLR 2023

| Multivariable |  ETT 
 Weather  
 Electricity  
 Traffic 
 Exchange |   SpaceTime     | [Effectively Modeling Time Series with Simple Discrete State Spaces](https://openreview.net/forum?id=2EpjkjzdCAa) | [Pytorch](https://github.com/HazyResearch/spacetime) 
![Stars](https://img.shields.io/github/stars/HazyResearch/spacetime?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/HazyResearch/spacetime?color=critical&style=social) | ICLR 2023

| Multivariable |  Weather 
 Traffic  
 Electricity  
 ILI 
 ETT |   PatchTST     | [A Time Series is Worth 64 Words: Long-term Forecasting with Transformers](https://openreview.net/forum?id=Jbdc0vTOcol) | [Pytorch](https://github.com/yuqinie98/PatchTST) 
![Stars](https://img.shields.io/github/stars/yuqinie98/PatchTST?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/yuqinie98/PatchTST?color=critical&style=social) | ICLR 2023

| Multivariable |  Exchange  
  Weather 
   Electricity 
 Traffic  
 ILI  |   Scaleformer     | [Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting](https://openreview.net/forum?id=sCrnllCtjoE) | [Pytorch](https://github.com/BorealisAI/scaleformer) 
![Stars](https://img.shields.io/github/stars/BorealisAI/scaleformer?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/BorealisAI/scaleformer?color=critical&style=social) | ICLR 2023

| Multivariable 
 classification 
 AnomalyDec |  Electricity  
 Weather 
 ETTm1 
 MSL 
  SMD 
  SMAP   |    SBT    | [Sparse Binary Transformers for Multivariate Time Series Modeling](https://dl.acm.org/doi/abs/10.1145/3580305.3599508) |   [Pytorch](https://github.com/mattgorb/sparse-binary-transformers) 
![Stars](https://img.shields.io/github/stars/mattgorb/sparse-binary-transformers?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/mattgorb/sparse-binary-transformers?color=critical&style=social)   | KDD 2023

| Multivariable |  SIP  
 METR-LA 
 KnowAir 
 Electricity |    CauSTG    | [Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal Learning](https://dl.acm.org/doi/10.1145/3580305.3599529) |  [Pytorch](https://github.com/zzyy0929/KDD23-CauSTG) 
![Stars](https://img.shields.io/github/stars/zzyy0929/KDD23-CauSTG?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/zzyy0929/KDD23-CauSTG?color=critical&style=social)   | KDD 2023

| Robust 
 Multivariable |  PEMS-BAY  
  PEMS04  |    RDAT    | [Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training](https://dl.acm.org/doi/10.1145/3580305.3599492) |  [Pytorch](https://github.com/usail-hkust/RDAT) 
![Stars](https://img.shields.io/github/stars/usail-hkust/RDAT?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/usail-hkust/RDAT?color=critical&style=social)   | KDD 2023

| Multivariable | Beijing 
  Chengdu  
 Harbin  |    Frigate    | [Frigate: Frugal Spatio-temporal Forecasting on Road Networks](https://dl.acm.org/doi/10.1145/3580305.3599357) |  [Pytorch](https://github.com/idea-iitd/frigate) 
![Stars](https://img.shields.io/github/stars/idea-iitd/frigate?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/idea-iitd/frigate?color=critical&style=social)   | KDD 2023

|Multivariable | XC-Traffic  
  NYC-Traffic  |    GCIM    | [Generative Causal Interpretation Model for Spatio-Temporal Representation Learning](https://doi.org/10.1145/3580305.3599363) | None | KDD 2023

| Multivariable |  Tourism  
 Labour 
 Wiki 
 Flu-Symptoms 
 FB-Survey |    PROFHiT    | [When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting](https://dl.acm.org/doi/10.1145/3580305.3599529) |  [Pytorch](https://github.com/AdityaLab/Profhit) 
![Stars](https://img.shields.io/github/stars/AdityaLab/Profhit?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/AdityaLab/Profhit?color=critical&style=social)   | KDD 2023

| Multivariable 
 Under Miss |  AQI-36  
 AQI 
 PEMS-BAY 
 CER-E 
  Healthcare 
  SMAP   |    MIDM    | [An Observed Value Consistent Diffusion Model for Imputing Missing Values in Multivariate Time Series](https://doi.org/10.1145/3580305.3599257) |    [Author](http://home.ustc.edu.cn/~wx309/)   | KDD 2023

| Multivariable |   PEMS03 
 PEMS04 
  PEMS07  
 PEMS08  
 etc.|    Localised    | [Localised Adaptive Spatial-Temporal Graph Neural Network](https://dl.acm.org/doi/10.1145/3580305.3599418) | None  | KDD 2023

| Multivariable |  PEMS3-Stream   |    PECPM    | [Pattern Expansion and Consolidation on Evolving Graphs for Continual Traffic Prediction](https://doi.org/10.1145/3580305.3599463) | None  | KDD 2023

| Multivariable |  Tourism  
 Wiki 
 Traffic |    HPO    | [Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting](https://dl.acm.org/doi/10.1145/3580305.3599529) |   None | KDD 2023   

| Multivariable |  Weather  
 Traffic  
 Electricity 
  ETT   |    TSMixer    | [TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting](https://doi.org/10.1145/3580305.3599533) | None| KDD 2023

| Transfer 
 Traffic 
 Forecasting |  PEMSD7M  
 PEMSD7M 
 METR-LA 
 PEMS-BAY  |    TransGTR    | [Transferable Graph Structure Learning for Graph-based Traffic Forecasting Across Cities](https://dl.acm.org/doi/10.1145/3580305.3599529) |   [Author](https://github.com/KL4805)    | KDD 2023

| Multivariable | ETT 
 Traffic  
 Electricity   
 Exchange   
 Weather  
   ILI  |  DLinear     | [Are Transformers Effective for Time Series Forecasting](https://ojs.aaai.org/index.php/AAAI/article/view/26317) | [Pytorch](https://github.com/cure-lab/LTSF-Linear) 
![Stars](https://img.shields.io/github/stars/cure-lab/LTSF-Linear?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/cure-lab/LTSF-Linear?color=critical&style=social) | AAAI 2023  

| Multivariable | METR-LA  
 PEMSD7M  |  STC-Dropout    | [Easy Begun Is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout](https://ojs.aaai.org/index.php/AAAI/article/view/25590) | [Pytorch](https://github.com/Urban-Computing/STC-Dropout) 
![Stars](https://img.shields.io/github/stars/Urban-Computing/STC-Dropout?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/Urban-Computing/STC-Dropout?color=critical&style=social) | AAAI 2023  

| Multivariable | BJ-Bike 
 NYC-Bike  |  STNSCM    | [Spatio-Temporal Neural Structural Causal Models for Bike Flow Prediction](https://ojs.aaai.org/index.php/AAAI/article/view/25542) | [Pytorch](https://github.com/EternityZY/STNSCM) 
![Stars](https://img.shields.io/github/stars/EternityZY/STNSCM?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/EternityZY/STNSCM?color=critical&style=social) | AAAI 2023  

| Multivariable | XC-Trans 
 XC-Speed  | CCHMM   | [Causal Conditional Hidden Markov Model for Multimodal Traffic Prediction](https://ojs.aaai.org/index.php/AAAI/article/view/25619) | [Pytorch](https://github.com/EternityZY/CCHMM) 
![Stars](https://img.shields.io/github/stars/EternityZY/CCHMM?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/EternityZY/CCHMM?color=critical&style=social) | AAAI 2023  

| Multivariable | NYCBike1 
 NYCBike2 
  NYCTaxi 
  BJTaxi |  ST-SSL    | [Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction](https://ojs.aaai.org/index.php/AAAI/article/view/25555) | [Pytorch](https://github.com/Echo-Ji/ST-SSL) 
![Stars](https://img.shields.io/github/stars/Echo-Ji/ST-SSL?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/Echo-Ji/ST-SSL?color=critical&style=social) | AAAI 2023  

| Multivariable | PV-US  
 CER-En  |  SGP     | [Scalable Spatiotemporal Graph Neural Networks](https://ojs.aaai.org/index.php/AAAI/article/view/25880) | [Pytorch](https://github.com/Graph-Machine-Learning-Group/sgp) 
![Stars](https://img.shields.io/github/stars/Graph-Machine-Learning-Group/sgp?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/Graph-Machine-Learning-Group/sgp?color=critical&style=social) | AAAI 2023  

| Multivariable | Electricity 
 Solar  
  PEMS-BAY  
 METR-LA |  SRD     | [Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling](https://ojs.aaai.org/index.php/AAAI/article/view/25915) | [Pytorch](https://github.com/Arthur-Null/SRD) 
![Stars](https://img.shields.io/github/stars/Arthur-Null/SRD?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/Arthur-Null/SRD?color=critical&style=social) | AAAI 2023  

| Multivariable | ETT  
 Electricity  |  InfoTS     | [Time Series Contrastive Learning with Information-Aware Augmentations](https://ojs.aaai.org/index.php/AAAI/article/view/25575) | [Pytorch](https://github.com/chengw07/InfoTS) 
![Stars](https://img.shields.io/github/stars/chengw07/InfoTS?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/chengw07/InfoTS?color=critical&style=social) | AAAI 2023  

| Multivariable |   PhysioNet  
   MIMIC-III    
  Activity  
  Appliances Energy |  PrimeNet   | [PrimeNet: Pre-training for Irregular Multivariate Time Series](https://ojs.aaai.org/index.php/AAAI/article/view/25876) | [Pytorch](https://github.com/ranakroychowdhury/PrimeNet) 
![Stars](https://img.shields.io/github/stars/ranakroychowdhury/PrimeNet?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/ranakroychowdhury/PrimeNet?color=critical&style=social) | AAAI 2023  

| Multivariable |   Electricity  
  ETT    
 Weather  |   Dish-TS    | [Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting](https://ojs.aaai.org/index.php/AAAI/article/view/25914) | [Pytorch](https://github.com/weifantt/Dish-TS) 
![Stars](https://img.shields.io/github/stars/weifantt/Dish-TS?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/weifantt/Dish-TS?color=critical&style=social) | AAAI 2023  

| Multivariable |  ETT 
 Electricity   
 Exchange  
 Traffic    
 Weather  
   ILI  |  NHITS   | [NHITS: Neural Hierarchical Interpolation for Time Series Forecasting](https://ojs.aaai.org/index.php/AAAI/article/view/25854) | [Pytorch](https://github.com/Nixtla/neuralforecast) 
![Stars](https://img.shields.io/github/stars/Nixtla/neuralforecast?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/Nixtla/neuralforecast?color=critical&style=social) | AAAI 2023  

| Multivariable |   METR-LA  
   ETT    
 Weather   |  MegaCRN   | [Spatio-Temporal Meta-Graph Learning for Traffic Forecasting](https://ojs.aaai.org/index.php/AAAI/article/view/25976) | [Pytorch](https://github.com/deepkashiwa20/MegaCRN) 
![Stars](https://img.shields.io/github/stars/deepkashiwa20/MegaCRN?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/deepkashiwa20/MegaCRN?color=critical&style=social) | AAAI 2023  

| Multivariable | Santa 
 Traffic  |   NEC+     | [An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks](https://ojs.aaai.org/index.php/AAAI/article/view/26276) | [Pytorch](https://github.com/davidanastasiu/NECPlus) 
![Stars](https://img.shields.io/github/stars/davidanastasiu/NECPlus?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/davidanastasiu/NECPlus?color=critical&style=social) | AAAI 2023  

| Extreme MTSF | Electricity  
 Solar  
 Weather 
 Traffic  |   WaveForM     | [WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series](https://ojs.aaai.org/index.php/AAAI/article/view/26276) | [Pytorch](https://github.com/alanyoungCN/WaveForM) 
![Stars](https://img.shields.io/github/stars/alanyoungCN/WaveForM?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/alanyoungCN/WaveForM?color=critical&style=social) | AAAI 2023  

| Multivariable | PEMS04 
  PEMS07  
 PEMS08    
  NYCTaxi   
  CHBike  
  TDrive |   PDFormer     | [PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction](https://ojs.aaai.org/index.php/AAAI/article/view/25556) | [Pytorch](https://github.com/BUAABIGSCity/PDFormer) 
![Stars](https://img.shields.io/github/stars/BUAABIGSCity/PDFormer?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/BUAABIGSCity/PDFormer?color=critical&style=social) | AAAI 2023  

| Multivariable |  AmapBeijing 
 AmapChengdu   |   STGNPP     | [Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction](https://ojs.aaai.org/index.php/AAAI/article/view/26669) | None | AAAI 2023

| Multivariable |  ETT 
 Electricity  
 Exchange   
 Traffic 
 Weather 
  ILI |   InParformer     | [InParformer: Evolutionary Decomposition Transformers with Interactive Parallel Attention for Long-Term Time Series Forecasting](https://ojs.aaai.org/index.php/AAAI/article/view/25845) | None | AAAI 2023

| Multivariable |   Tourism  
  Labour   
   M5   |  SLOTH   | [SLOTH: Structured Learning and Task-Based Optimization for Time Series Forecasting on Hierarchies](https://ojs.aaai.org/index.php/AAAI/article/view/26350) | None | AAAI 2023  

| Multivariable |   Wind 
  Solar    |  eForecaster   | [eForecaster: Unifying Electricity Forecasting with Robust, Flexible, and Explainable Machine Learning Algorithms](https://ojs.aaai.org/index.php/AAAI/article/view/26853) | None | AAAI 2023  

| Multivariable | NYCTaxi 
 PEMS04 |  AutoSTL    | [AutoSTL: Automated Spatio-Temporal Multi-Task Learning](https://ojs.aaai.org/index.php/AAAI/article/view/25616) | None | AAAI 2023  

| Multivariable | METR-LA 
 PEMS-BAY |    Trafformer    | [Trafformer: Unify Time and Space in Traffic Prediction](https://doi.org/10.1609/aaai.v37i7.25980) | None| AAAI 2023

| Multivariable | Electricity 
  PM2.5  
 Exchange   |   DeLELSTM     | [DeLELSTM: Decomposition-based Linear Explainable LSTM to Capture Instantaneous and Long-term Effects in Time Series](https://www.ijcai.org/proceedings/2023/478) | [Pytorch](https://github.com/wangcq01/DeLELSTM) 
![Stars](https://img.shields.io/github/stars/wangcq01/DeLELSTM?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/wangcq01/DeLELSTM?color=critical&style=social) | IJCAI 2023  

| Multivariable | NYC-Bike 
 PEMS-BAY   
  PEMS08 |   ReMo     | [Not Only Pairwise Relationships: Fine-Grained Relational Modeling for Multivariate Time Series Forecasting](https://www.ijcai.org/proceedings/2023/491) | [Pytorch](https://github.com/beginner-sketch/gmrl) 
![Stars](https://img.shields.io/github/stars/beginner-sketch/gmrl?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/beginner-sketch/gmrl?color=critical&style=social) | IJCAI 2023  

| Multivariable | NASA |   MetePFL     | [Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data](https://www.ijcai.org/proceedings/2023/393) | [Pytorch](https://github.com/shengchaochen82/MetePFL) 
![Stars](https://img.shields.io/github/stars/shengchaochen82/MetePFL?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/shengchaochen82/MetePFL?color=critical&style=social) | IJCAI 2023  

| Multivariable |  Hurricane 
  Climate   |   Self-Recover     | [Self-Recover: Forecasting Block Maxima in Time Series from Predictors with Disparate Temporal Coverage Using Self-Supervised Learning](https://www.ijcai.org/proceedings/2023/4141) | None  | IJCAI 2023  

| Multivariable | Weather 
  Traffc  
 Electricity    
  Exchange   
  ILI   |   SMARTformer     | [SMARTformer: Semi-Autoregressive Transformer with Efficient Integrated Window Attention for Long Time Series Forecasting](https://www.ijcai.org/proceedings/2023/241) | None| IJCAI 2023  

| Multivariable | METR-LA 
 Beijing 
 Xiamen |    INCREASE    | [INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging](https://dl.acm.org/doi/abs/10.1145/3543507.3583525) | [TF](https://github.com/zhengchuanpan/INCREASE) 
![Stars](https://img.shields.io/github/stars/zhengchuanpan/INCREASE?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/zhengchuanpan/INCREASE?color=critical&style=social)  | WWW 2023

| Multivariable | MQPS 
 ETT 
 Electricity |    KAE-Informer    | [KAE-Informer: A Knowledge Auto-Embedding Informer for Forecasting Long-Term Workloads of Microservices](https://doi.org/10.1145/3543507.3583288) | [Pytorch](https://github.com/citsjtu2020/KAE-Informer-MQPS) 
![Stars](https://img.shields.io/github/stars/citsjtu2020/KAE-Informer-MQPS?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/citsjtu2020/KAE-Informer-MQPS?color=critical&style=social)  | WWW 2023

| Multivariable | Typhoon-JP 
 COVID-JP 
 Hurricane-US |    MemeSTN    | [Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster](https://doi.org/10.1145/3543507.3583991) | [Pytorch](https://github.com/citsjtu2020/KAE-Informer-MQPS) 
![Stars](https://img.shields.io/github/stars/citsjtu2020/KAE-Informer-MQPS?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/citsjtu2020/KAE-Informer-MQPS?color=critical&style=social)  | WWW 2023

| Multivariable |   NYC  
  Chicago  |  EALGAP   | [Extreme-Aware Local-Global Attention for Spatio-Temporal Urban Mobility Learning](https://ieeexplore.ieee.org/document/10184645) | [Keras](https://github.com/HuiqunHuang/EALGAP) 
![Stars](https://img.shields.io/github/stars/HuiqunHuang/EALGAP?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/HuiqunHuang/EALGAP?color=critical&style=social) | ICDE 2023  

| Multivariable | PEMS03 
 PEMS04 
  PEMS07  
 PEMS08  |  DyHSL   | [Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting](https://ieeexplore.ieee.org/document/10184800) | [Pytorch](https://github.com/YushengZhao/DyHSL) 
![Stars](https://img.shields.io/github/stars/YushengZhao/DyHSL?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/YushengZhao/DyHSL?color=critical&style=social) | ICDE 2023  

| Multivariable | PEMS03 
 PEMS04 
  PEMS07  
 PEMS08  |  STWave   | [When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks](https://ieeexplore.ieee.org/document/10184591) | [Pytorch](https://github.com/LMissher/STWave) 
![Stars](https://img.shields.io/github/stars/LMissher/STWave?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/LMissher/STWave?color=critical&style=social) | ICDE 2023  

| Multivariable | Seattle 
 PEMS04  
 PEMS08  |  SSTBAN   | [Self-Supervised Spatial-Temporal Bottleneck Attentive Network for Efficient Long-term Traffic Forecasting](https://ieeexplore.ieee.org/document/10184658) | [Pytorch](https://github.com/guoshnBJTU/SSTBAN) 
![Stars](https://img.shields.io/github/stars/guoshnBJTU/SSTBAN?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/guoshnBJTU/SSTBAN?color=critical&style=social) | ICDE 2023  

| Multivariable | PEMSD4 
 PEMSD8 
 AirBJ 
 TrafficSIP |   MGTF   | [A Multi-graph Fusion Based Spatiotemporal Dynamic Learning Framework](https://dl.acm.org/doi/10.1145/3539597.3570396) | [Author](http://home.ustc.edu.cn/~wx309/)  | WSDM 2023

| Multivariable |  METR-LA 
 PEMS-BAY  
 PEMS04 
 PEMS07 
 PEMS08|  STAEformer   | [Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting](https://dl.acm.org/doi/10.1145/3583780.3615136) | [Pytorch](https://github.com/XDZhelheim/STAEformer) 
![Stars](https://img.shields.io/github/stars/XDZhelheim/STAEformer?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/XDZhelheim/STAEformer?color=critical&style=social) | CIKM 2023  

| Traffic | PEMS03 
 PEMS04 
  PEMS07  
 PEMS08 |  TrendGCN   | [Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting](https://dl.acm.org/doi/10.1145/3583780.3614868) | [Pytorch](https://github.com/juyongjiang/TrendGCN) 
![Stars](https://img.shields.io/github/stars/juyongjiang/TrendGCN?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/juyongjiang/TrendGCN?color=critical&style=social) | CIKM 2023  

| Multivariable | ETT 
 Electricity  
 Traffic   
 Weather 
 ILI 
  Exchange |  GCformer   | [GCformer: An Efficient Solution for Accurate and Scalable Long-Term Multivariate Time Series Forecasting](https://dl.acm.org/doi/10.1145/3583780.3614868) | [Pytorch](https://github.com/Yanjun-Zhao/GCformer) 
![Stars](https://img.shields.io/github/stars/Yanjun-Zhao/GCformer?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/Yanjun-Zhao/GCformer?color=critical&style=social) | CIKM 2023  

| Multivariable | ETT 
 Electricity  
 Traffic |  Seq2Peak  | [Unlocking the Potential of Deep Learning in Peak-Hour Series Forecasting](https://dl.acm.org/doi/abs/10.1145/3583780.3615159) | [Pytorch](https://github.com/zhangzw16/Seq2Peak) 
![Stars](https://img.shields.io/github/stars/zhangzw16/Seq2Peak?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/zhangzw16/Seq2Peak?color=critical&style=social) | CIKM 2023   

| Multivariable |  PEMS04 
  PEMS07  
 PEMS08  
 NYC Crime  
 CHI Crime |  CL4ST  | [Spatio-Temporal Meta Contrastive Learning](https://dl.acm.org/doi/10.1145/3583780.3615065) | [Pytorch](https://github.com/HKUDS/CL4ST) 
![Stars](https://img.shields.io/github/stars/HKUDS/CL4ST?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/HKUDS/CL4ST?color=critical&style=social) | CIKM 2023  

| Multivariable | NYC Bike  
 NYC Taxi    |  MLPST | [MLPST: MLP is All You Need for Spatio-Temporal Prediction](https://dl.acm.org/doi/10.1145/3583780.3614969) | [Author](https://github.com/Zhang-Zijian)  | CIKM 2023  

| Multivariable | TaxiBJ  
 BikeNYC    |  MC-STL  | [Mask- and Contrast-Enhanced Spatio-Temporal Learning for Urban Flow Prediction](https://dl.acm.org/doi/10.1145/3583780.3614958) | [Pytorch](https://github.com/CodeZx6/MCSTL) 
![Stars](https://img.shields.io/github/stars/CodeZx6/MCSTL?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/CodeZx6/MCSTL?color=critical&style=social) | CIKM 2023  

| Multivariable | PeMS  
 Beijing  
 Electricity   
 COVID-CHI |  MemDA   | [MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation](https://dl.acm.org/doi/10.1145/3583780.3615136) | [Pytorch](https://github.com/deepkashiwa20/Urban_Concept_Drift) 
![Stars](https://img.shields.io/github/stars/deepkashiwa20/Urban_Concept_Drift?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/deepkashiwa20/Urban_Concept_Drift?color=critical&style=social) | CIKM 2023  

| Cross City 
 Traffic |   PEMS-BAY  
 METR-LA   
 Chengdu   
   Shenzhen|  TPB  | [Cross-city Few-Shot Traffic Forecasting via Traffic Pattern Bank](https://dl.acm.org/doi/10.1145/3583780.3614829) | [Pytorch](https://github.com/zhyliu00/TPB) 
![Stars](https://img.shields.io/github/stars/zhyliu00/TPB?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/zhyliu00/TPB?color=critical&style=social) | CIKM 2023  

| Traffic Speed | METR-LA 
 PEMS-BAY  
 PEMSD7M  |  UAGCRN  | [Enhancing Spatio-temporal Traffic Prediction through Urban Human Activity Analysis](https://dl.acm.org/doi/10.1145/3583780.3614867) | [TF](https://github.com/SuminHan/Traffic-UAGCRNTF) 
![Stars](https://img.shields.io/github/stars/SuminHan/Traffic-UAGCRNTF?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/SuminHan/Traffic-UAGCRNTF?color=critical&style=social) | CIKM 2023  

| Multivariable | Complaint 
 NYC Taxi    |  PromptST  | [PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction](https://dl.acm.org/doi/abs/10.1145/3583780.3615159) | [Pytorch](https://github.com/Zhang-Zijian/PromptST) 
![Stars](https://img.shields.io/github/stars/Zhang-Zijian/PromptST?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/Zhang-Zijian/PromptST?color=critical&style=social) | CIKM 2023  

| Multivariable | METR-LA 
 PEMS-BAY  
 PEMS08 |  HIEST  | [Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting](https://dl.acm.org/doi/10.1145/3583780.3614910) | [Pytorch](https://github.com/VAN-QIAN/CIKM23-HIEST) 
![Stars](https://img.shields.io/github/stars/VAN-QIAN/CIKM23-HIEST?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/VAN-QIAN/CIKM23-HIEST?color=critical&style=social) | CIKM 2023  

| Multivariable | ETT 
 Electricity  
 Weather  
 Traffic |  TemDep  | [TemDep: Temporal Dependency Priority for Multivariate Time Series Prediction](https://dl.acm.org/doi/10.1145/3583780.3615164) | [Pytorch](https://github.com/zivgogogo/TemDep) 
![Stars](https://img.shields.io/github/stars/zivgogogo/TemDep?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/zivgogogo/TemDep?color=critical&style=social) | CIKM 2023  

| Traffic |  BJ-Center  
  METR-LA |  ST-MoE  | [ST-MoE: Spatio-Temporal Mixture-of-Experts for Debiasing in Traffic Prediction](https://dl.acm.org/doi/10.1145/3583780.3615068) | None  | CIKM 2023  

| Multivariable | ETT 
 Electricity  
 Weather  
 Traffic  
  Exchange  |  AVGNets  | [Learning Visibility Attention Graph Representation for Time Series Forecasting](https://dl.acm.org/doi/abs/10.1145/3583780.3615289) | None | CIKM 2023  

| Multivariable |  PEMS03  
 PEMS04 
  PEMS07  
 PEMS08   |  STGBN  | [Spatial-Temporal Graph Boosting Networks: Enhancing Spatial-Temporal Graph Neural Networks via Gradient Boosting](https://dl.acm.org/doi/10.1145/3583780.3615066) | None  | CIKM 2023 

| Multivariable | ETT 
 Electricity  
 Traffic   
 ILI 
  Exchange | FAMC-Net   | [FAMC-Net: Frequency Domain Parity Correction Attention and Multi-Scale Dilated Convolution for Time Series Forecasting](https://dl.acm.org/doi/10.1145/3583780.3614876) | None| CIKM 2023  

| Cross City 
 Traffic |  NYC  
 Chicago    
 Nashville   |  CARPG  | [CARPG: Cross-City Knowledge Transfer for Traffic Accident Prediction via Attentive Region-Level Parameter Generation](https://dl.acm.org/doi/abs/10.1145/3583780.3614802) | None| CIKM 2023  

| Traffic | SPEED 
 FLOW  |  CANet  | [Clustering-property Matters: A Cluster-aware Network for Large Scale Multivariate Time Series Forecasting](https://dl.acm.org/doi/abs/10.1145/3583780.3615253) | None  | CIKM 2023  

| Multivariable | ETT 
 Exchange  
 ILI   
 Weather  
  Electricity  
 Traffic |  DSformer   | [DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction](https://dl.acm.org/doi/abs/10.1145/3583780.3614851) | None | CIKM 2023 

| Multivariable | Wufu    |  MODE    | [Monotonic Neural Ordinary Differential Equation: Time-series Forecasting for Cumulative Data](https://dl.acm.org/doi/10.1145/3583780.3615487) |  None  | CIKM 2023  

| Multivariable | NYC  |  MetaRSTP  | [Region Profile Enhanced Urban Spatio-Temporal Prediction via Adaptive Meta-Learning](https://dl.acm.org/doi/10.1145/3583780.3615027) |    None  | CIKM 2023  

| Multivariable | SIP 
  NYC  
 METR-LA |    G2S    | [Towards Learning in Grey Spatiotemporal Systems: A Prophet to Non-consecutive Spatiotemporal Dynamics](https://epubs.siam.org/doi/abs/10.1137/1.9781611977653.ch22) | None | SDM 2023

| Multivariable | Solar 
  PEMS-BAY 
 Electricity |    ERL    | [Time-delayed Multivariate Time Series Predictions](https://epubs.siam.org/doi/abs/10.1137/1.9781611977653.ch37) | None | SDM 2023

| Multivariable | Weather2K   |   Weather2K     | [Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for Meteorological Forecasting Based on Real-Time Observation Data from Ground Weather Stations](https://proceedings.mlr.press/v206/zhu23a.html) | [Weather2K](https://github.com/bycnfz/weather2k/) 
![Stars](https://img.shields.io/github/stars/bycnfz/weather2k?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/bycnfz/weather2k?color=critical&style=social) | AISTATS 2023  

| Multivariable | ETT 
 Electricity  
 Exchange   
 Traffic 
 Weather 
  ILI |    FiLM    | [FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting](https://openreview.net/forum?id=zTQdHSQUQWc) | [Pytorch](https://github.com/tianzhou2011/FiLM) 
![Stars](https://img.shields.io/github/stars/tianzhou2011/FiLM?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/tianzhou2011/FiLM?color=critical&style=social) | NeurIPS 2022

| Multivariable | ETT 
 Electricity  
 Exchange  
 Weather |    LaST    | [Learning Latent Seasonal-Trend Representations for Time Series Forecasting](https://openreview.net/forum?id=C9yUwd72yy) | [Pytorch](https://github.com/zhycs/LaST) 
![Stars](https://img.shields.io/github/stars/zhycs/LaST?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/zhycs/LaST?color=critical&style=social) | NeurIPS 2022

| Multivariable | ETT 
 Electricity  
 Exchange  
 Traffic 
 Weather 
  ILI |    WaveBound    | [WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting](https://openreview.net/forum?id=vsNQkquutZk) | [Pytorch](https://github.com/choyi0521/WaveBound) 
![Stars](https://img.shields.io/github/stars/choyi0521/WaveBound?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/choyi0521/WaveBound?color=critical&style=social) | NeurIPS 2022

| Multivariable | COVID-19 
 PEMS04  
 PEMS08  
 Temperature 
 Bytom 
  Wind |    ZFC-SHCN    | [Time-Conditioned Dances with Simplicial Complexes: Zigzag Filtration Curve based Supra-Hodge Convolution Networks for Time-series Forecasting](https://openreview.net/forum?id=2Ln-TWxVtf) | [Future](https://github.com/zfcshcn/ZFC-SHCN) | NeurIPS 2022

| Multivariable | ETT 
 Traffic  
 Solar  
 Electricity 
 Exchange  
    PEMS03 
 PEMS04 
  PEMS07  
 PEMS08  |    SCINet    | [SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction](https://openreview.net/forum?id=AyajSjTAzmg) | [Pytorch](https://github.com/cure-lab/SCINet) 
![Stars](https://img.shields.io/github/stars/cure-lab/SCINet?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/cure-lab/SCINet?color=critical&style=social) | NeurIPS 2022

| Multivariable | Electricity 
 ETT  
 Exchange  
  ILI  
 Traffic 
 Weather |   NonstaTransformer   | [Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting](https://openreview.net/forum?id=ucNDIDRNjjv) | [Pytorch](https://github.com/thuml/Nonstationary_Transformers) 
![Stars](https://img.shields.io/github/stars/thuml/Nonstationary_Transformers?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/thuml/Nonstationary_Transformers?color=critical&style=social) | NeurIPS 2022

| Multivariable | Traffic 
 Solar  
 Electricity  
  Exchange  
 PEMS07(M) 
 PEMS-BAY |   TPGNN   | [Multivariate Time-Series Forecasting with Temporal Polynomial Graph Neural Networks](https://openreview.net/forum?id=pMumil2EJh) | [Future](https://github.com/zyplanet/TPGNN) | NeurIPS 2022

| Multivariable | PEMS03 
 PEMS04 
  PEMS07  
 PEMS08  |    DSTAGNN    | [DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting](https://proceedings.mlr.press/v162/lan22a.html) | [Pytorch](https://github.com/SYLan2019/DSTAGNN) 
![Stars](https://img.shields.io/github/stars/SYLan2019/DSTAGNN?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/SYLan2019/DSTAGNN?color=critical&style=social) | ICML 2022

| Multivariable | ETT 
 Electricity  
 Exchange  
 Traffic 
 Weather 
 ILI |        FEDformer 
 (EncDec,
 EnhancedFeature)      | [FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting](https://proceedings.mlr.press/v162/zhou22g.html) | [Pytorch](https://github.com/MAZiqing/FEDformer) 
![Stars](https://img.shields.io/github/stars/MAZiqing/FEDformer?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/MAZiqing/FEDformer?color=critical&style=social) | ICML 2022

| Multivariable | Traffic 
 Electricity  
 Wiki  
 Sales  |       DAF     | [DAF-Domain Adaptation for Time Series Forecasting via Attention Sharing](https://proceedings.mlr.press/v162/jin22d.html) | None| ICML 2022

| Multivariable | Electricity  
 Solar  
 Fred MD 
 KDD Cup  |        TACTiS 
 (Copulas,
 Trans)      | [TACTiS: Transformer-Attentional Copulas for Time Series](https://proceedings.mlr.press/v162/drouin22a.html) | [Pytorch](https://github.com/servicenow/tactis) 
![Stars](https://img.shields.io/github/stars/servicenow/tactis?color=critical&style=social) 
![Forks](https://img.shields.io/github/forks/servicenow/tactis?color=critical&style=social) | ICML 2022

| Multivariable | French 
 Electricity    |        AgACI      | [Adaptive Conformal Predictions for Time Series](https://arxiv.org/abs/2202.07282) | [Python,R](https://github.com/mzaffran/AdaptiveConformalPredictionsTimeSeries) 
![Stars](https://img.shields.io/github/stars/mzaffran/AdaptiveConformalPredictionsTimeSeries?color=critical&style=social) 
![Forks](https://
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