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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: 4 days ago
JSON representation
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 (about 7 years ago)
- Default Branch: master
- Last Pushed: 2024-12-12T11:13:28.000Z (about 1 month ago)
- Last Synced: 2025-01-07T16:04:30.109Z (18 days ago)
- Topics: conference-publications, deep-learning, graph, graph-convolutional-networks, graph-neural-networks, graph-representation-learning, neural-networks
- Language: Jupyter Notebook
- Homepage:
- Size: 14.1 MB
- Stars: 4,862
- Watchers: 252
- Forks: 781
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
Awesome Lists containing this project
- awesome-artificial-intelligence-research - Graph Based Deep Learning
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- awesome-ai-awesomeness - Graph-based Deep Learning
- best-of-atomistic-machine-learning - GitHub
- awesome-kg-qaie - graph-based-deep-learning-literature
- awesome-machine-learning-resources - **[List - based-deep-learning-literature?style=social) (Table of Contents)
- StarryDivineSky - naganandy/graph-based-deep-learning-literature
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/) - [2024](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_log24/README.md) | [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/) - [2024](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_neurips24/README.md) | [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/) - [2024](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_icml24/README.md) | [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/) - [2025(S)](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/submissions_iclr/2025.md) | [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)
- ## Data Mining Conferences
* ### [KDD](https://kdd2025.kdd.org/) - [2024](https://github.com/naganandy/graph-based-deep-learning-literature/tree/master/conference-publications/folders/years/2024/publications_kdd24/README.md) | [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/) - [2024](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_icdm24/README.md) | [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/2025/) - [2025](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2025/publications_wsdm25/README.md) | [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://www2025.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/conference/aaai/aaai-25/) - [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/) - [2024](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_ijcai24/README.md) | [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)
- ## 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/) - [2024](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_eccv24/README.md) | [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)
- ## Computational Linguistics Conferences
* ### [ACL](https://2024.aclweb.org/) - [2024](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_acl24/README.md) | [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/) - [2024](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_emnlp24/README.md) | [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://2025.naacl.org/) - [2024](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_naacl24/README.md) | [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)