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https://github.com/naganandy/graph-based-deep-learning-literature

links to conference publications in graph-based deep learning
https://github.com/naganandy/graph-based-deep-learning-literature
conference-publications deep-learning graph graph-convolutional-networks graph-neural-networks graph-representation-learning neural-networks
Last synced: about 1 month ago
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links to conference publications in graph-based deep learning
Host: GitHub
URL: https://github.com/naganandy/graph-based-deep-learning-literature
Owner: naganandy
License: mit
Created: 2017-12-01T14:48:35.000Z (over 6 years ago)
Default Branch: master
Last Pushed: 2024-03-30T15:15:41.000Z (about 2 months ago)
Last Synced: 2024-03-31T07:48:36.965Z (about 2 months ago)
Topics: conference-publications, deep-learning, graph, graph-convolutional-networks, graph-neural-networks, graph-representation-learning, neural-networks
Language: Jupyter Notebook
Homepage:
Size: 13.7 MB
Stars: 4,569
Watchers: 246
Forks: 770
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE.md
Lists

my-awesome-stars - naganandy/graph-based-deep-learning-literature - links to conference publications in graph-based deep learning (Jupyter Notebook)
Machine-Learning-Tutorials - Graph Based Deep Learning Literature
awesome-ai-awesomeness - Graph-based Deep Learning
awesome-ai - graph-based-deep-learning-literature
awesome-machine-learning-resources - **[List - based-deep-learning-literature?style=social) (Table of Contents)
awesomeai - Graph-based Deep Learning
best-of-atomistic-machine-learning - GitHub
awesome-kg-qaie - graph-based-deep-learning-literature
awesome-stars - graph-based-deep-learning-literature - based deep learning | naganandy | 4639 | (Jupyter Notebook)
awesome-artificial-intelligence-research - Graph Based Deep Learning
README

        # Graph-based Deep Learning Literature

The repository primarily contains [links to conference publications](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/README.md#conferences) in graph-based deep learning.

The repository also contains links to:

- [Related Workshops](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/workshops/README.md),

- [Surveys / Literature Reviews / Books](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/surveys/README.md), 

- [Software / Libraries](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/software/README.md).

 

 
 

Publications within each conference and year below are organised into topic-specific categories.

* ### [Learning On Graphs Conference](https://logconference.org/) - [2023](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2023/publications_log23/README.md) | [2022](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2022/publications_log22/README.md)

- ## Machine Learning Conferences

 

   * ### [NeurIPS](https://nips.cc/)  - [2023](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2023/publications_neurips23/README.md) | [2022](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2022/publications_neurips22/README.md) | [2021](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2021/publications_neurips21/README.md) | [2020](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2020/publications_neurips20/README.md) | [2019](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2019/publications_neurips19/README.md) | [2018](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2018/publications_neurips18/README.md) | [2017](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2017_and_Earlier/README.MD#neurips-2017) | [2016](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2017_and_Earlier/README.MD#neurips-2016) | [2015](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2017_and_Earlier/README.MD#neurips-2015)

   * ### [ICML](https://icml.cc/) - [2023](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2023/publications_icml23/README.md) | [2022](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2022/publications_icml22/README.md) | [2021](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2021/publications_icml21/README.md) |  [2020](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2020/publications_icml20/README.md) | [2019](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2019/publications_icml19/README.md) | [2018](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2018/README.MD#icml-2018-jul) | [2017](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2017_and_Earlier/README.MD#icml-2017) | [2016](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2017_and_Earlier/README.MD#icml-2016)

 

   * ### [ICLR](https://iclr.cc/) - [2024](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_iclr24/README.md) | [2023](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2023/publications_iclr23/README.md) | [2022](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2022/publications_iclr22/README.md) | [2021](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2021/publications_iclr21/README.md) | [2020](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2020/publications_iclr20/README.md) | [2019](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2019/publications_iclr19/README.md) | [2018](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2018/README.MD#iclr-2018-may) | [2017](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2017_and_Earlier/README.MD#iclr-2017) | [2016](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2017_and_Earlier/README.MD#iclr-2016) | [2014](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2017_and_Earlier/README.MD#iclr-2014)


 

- ## Computer Vision Conferences

   * ### [CVPR](https://cvpr.thecvf.com/) - [2024](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_cvpr24/README.md) | [2023](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2023/publications_cvpr23/README.md) | [2022](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2022/publications_cvpr22/README.md) | [2021](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2021/publications_cvpr21/README.md) | [2020](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2020/publications_cvpr20/README.md) | [2019](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2019/publications_cvpr19/README.md) | [2018](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2018/README.MD#cvpr-2018-jun) | [2017](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2017_and_Earlier/README.MD#cvpr-2017)

   * ### [ICCV](http://iccv2023.thecvf.com/home) - [2023](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2023/publications_iccv23/README.md) | [2021](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2021/publications_iccv21/README.md) | [2019](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2019/publications_iccv19/README.md) | [2017](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2017_and_Earlier/README.MD#iccv-2017)

   * ### [ECCV](https://eccv2024.ecva.net/) - [2022](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2022/publications_eccv22/README.md) | [2020](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2020/publications_eccv20/README.md) | [2018](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2018/README.MD#eccv-2018-sep)


 

   

- ## Data Mining Conferences

   * ### [KDD](https://www.kdd.org/kdd2024/) - [2023](https://github.com/naganandy/graph-based-deep-learning-literature/tree/master/conference-publications/folders/years/2023/publications_kdd23/README.md) | [2022](https://github.com/naganandy/graph-based-deep-learning-literature/tree/master/conference-publications/folders/years/2022/publications_kdd22/README.md) | [2021](https://github.com/naganandy/graph-based-deep-learning-literature/tree/master/conference-publications/folders/years/2021/publications_kdd21/README.md) | [2020](https://github.com/naganandy/graph-based-deep-learning-literature/tree/master/conference-publications/folders/years/2020/publications_kdd20/README.md) | [2019](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2019/publications_kdd19/README.md) | [2018](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2018/README.MD#kdd-2018-aug)

   * ### [ICDM](https://icdm2024.org/) - [2023](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2023/publications_icdm23/README.md) | [2022](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2022/publications_icdm22/README.md) | [2021](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2021/publications_icdm21/README.md) | [2020](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2020/publications_icdm20/README.md) | [2019](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2019/README.MD#icdm-2019-nov) | [2018](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2018/README.MD#icdm-2018-nov)

   * ### [WSDM](https://www.wsdm-conference.org/2024/) - [2024](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_wsdm24/README.md) | [2023](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2023/publications_wsdm23/README.md) | [2022](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2022/publications_wsdm22/README.md) | [2021](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2021/publications_wsdm21/README.md) | [2020](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2020/README.MD#wsdm-2020-feb) | [2019](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2019/README.MD#wsdm-2019-jan) 


 

- ## Artificial Intelligence Conferences

   * ### [TheWebConf](https://www2024.thewebconf.org/) - [2024](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_webconf24/README.md)  | [2023](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2023/publications_webconf23/README.md)  |  [2022](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2022/publications_webconf22/README.md)  | [2021](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2021/publications_webconf21/README.md) | [2020](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2020/publications_www20/README.md) | [2019](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2019/README.MD#www-2019-may) | [2018](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2018/README.MD#www-2018-april)

   * ### [AAAI](https://aaai.org/aaai-conference/) - [2024](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_aaai24/README.md) |  [2023](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2023/publications_aaai23/README.md) | [2022](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2022/publications_aaai22/README.md) | [2021](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2021/publications_aaai21/README.md) | [2020](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2020/publications_aaai20/README.md) | [2019](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2019/publications_aaai19/README.md) | [2018](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2018/README.MD#aaai-2018-feb) | [2017](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2017_and_Earlier/README.MD#aaai-2017)

   * ### [IJCAI](https://ijcai24.org/) - [2023](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2023/publications_ijcai23/README.md) | [2022](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2022/publications_ijcai22/README.md) | [2021](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2021/publications_ijcai21/README.md) |  [2020](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2020/publications_ijcai20/README.md) | [2019](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2019/publications_ijcai19/README.md) | [2018](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2018/README.MD#ijcai-2018-jul) | [2017](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2017_and_Earlier/README.MD#ijcai-2017)


 

- ## Computational Linguistics Conferences

   * ### [ACL](https://2024.aclweb.org/) - [2023](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2023/publications_acl23/README.md) | [2022](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2022/publications_acl22/README.md) | [2021](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2021/publications_acl21/README.md) | [2020](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2020/publications_acl20/README.md) | [2019](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2019/publications_acl19/README.md) | [2018](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2018/README.MD#acl-2018-jul)

    * ### [EMNLP](https://2024.emnlp.org/) - [2023](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2023/publications_emnlp23/README.md) | [2022](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2022/publications_emnlp22/README.md) | [2021](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2021/publications_emnlp21/README.md) | [2020](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2020/publications_emnlp20/README.md) | [2019](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2019/publications_emnlp19/README.md) | [2018](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2018/README.MD#emnlp-2018-nov) | [2017](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2017_and_Earlier/README.MD#emnlp-2017)

  * ### [NAACL](https://2024.naacl.org/) - [2022](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2022/publications_naacl22/README.md) | [2021](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2021/publications_naacl21/README.md) | [2019](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2019/README.MD#naacl-2019-jun) | [2018](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2018/README.MD#naacl-2018-jun)


 


 


 

# Top 10 Most Cited Publications (on Graph Neural Networks)

- [Semi-Supervised Classification with Graph Convolutional Networks](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2017_and_Earlier/gcn_iclr17/README.md)

- [Graph Attention Networks](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2018/publications_conf18/gan_iclr18/README.md)

- [Inductive Representation Learning on Large Graphs](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2017_and_Earlier/graphsage_neurips17/README.md)

- [Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2017_and_Earlier/chebnet_neurips16/README.md)

- [The Graph Neural Network Model](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2017_and_Earlier/gnn_tnn09/README.md)

- [A Comprehensive Survey on Graph Neural Networks](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/surveys/gnnsurvey_tnnls21/README.md)

- [Neural Message Passing for Quantum Chemistry](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2017_and_Earlier/mpnn_icml17/README.md)

- [Spectral Networks and Locally Connected Networks on Graphs](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2017_and_Earlier/graphcnn_iclr14/README.md)

- [How Powerful are Graph Neural Networks?](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2019/publications_iclr19/gin_iclr19/README.md)

- [Convolutional Networks on Graphs for Learning Molecular Fingerprints](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2017_and_Earlier/graphcnn_neurips15/README.md)