# graph-based-deep-learning-literature
**Repository Path**: duplicate/graph-based-deep-learning-literature
## Basic Information
- **Project Name**: graph-based-deep-learning-literature
- **Description**: Forked from https://github.com/naganandy/graph-based-deep-learning-literature
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: https://github.com/naganandy/graph-based-deep-learning-literature
- **GVP Project**: No
## Statistics
- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-12-19
- **Last Updated**: 2021-02-28
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
# Graph-based Deep Learning Literature
The repository contains links to
- [Conference Publications](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/README.md) and [the top 10 most-cited publications](https://github.com/naganandy/graph-based-deep-learning-literature#top-10-most-cited-publications)
- [Related workshops](https://github.com/naganandy/graph-based-deep-learning-literature#related-workshops)
- [Surveys / Literature Reviews / Books](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/surveys/README.md)
in graph-based deep learning. [The links to conference publications](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/README.md#conferences) are arranged in the reverse chronological order of conference dates from the conferences below. Alternatively, please click on a year below beside a conference name to see publications of the conference in that year.
- ## Machine Learning Conferences
* ### [NeurIPS](https://nips.cc/) - [2020](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_neurips20/README.md) | [2019](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_neurips19/README.md) | [2018](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_neurips18/README.md) | [2017](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_years/2017.MD#neurips-2017) | [2016](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_years/2017.MD#neurips-2016) | [2015](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_years/2017.MD#neurips-2015)
* ### [ICML](https://icml.cc/) - [2020](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_icml20/README.md) | [2019](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_icml19/README.md) | [2018](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_years/2018.MD#icml-2018-jul) | [2017](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_years/2017.MD#icml-2017) | [2016](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_years/2017.MD#icml-2016)
* ### [ICLR](https://iclr.cc/) - [2021](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_iclr21/README.md) | [2020](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_iclr20/README.md) | [2019](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_iclr19/README.md) | [2018](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_years/2018.MD#iclr-2018-may) | [2017](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_years/2017.MD#iclr-2017) | [2016](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_years/2017.MD#iclr-2016) | [2014](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_years/2017.MD#iclr-2014)
- ## Computer Vision Conferences
* ### [CVPR](http://cvpr2021.thecvf.com/) - [2020](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_cvpr20/README.md) | [2019](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_cvpr19/README.md) | [2018](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_years/2018.MD#cvpr-2018-jun) | [2017](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_years/2017.MD#cvpr-2017)
* ### [ICCV](http://iccv2021.thecvf.com/home) - [2019](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_iccv19/README.md) | [2017](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_years/2017.MD#iccv-2017)
* ### [ECCV](https://eccv2020.eu/) - [2020](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_eccv20/README.md) | [2018](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_years/2018.MD#eccv-2018-sep)
- ## Data Conferences
* ### [KDD](https://www.kdd.org/kdd2021/) - [2020](https://github.com/naganandy/graph-based-deep-learning-literature/tree/master/conference-publications/folders/publications_kdd20/README.md) | [2019](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_kdd19/README.md) | [2018](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_years/2018.MD#kdd-2018-aug)
* ### [WebConf](https://www2021.thewebconf.org/) - [2021](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_webconf21/README.md) | [2020](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_www20/README.md) | [2019](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_years/2019.MD#www-2019-may) | [2018](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_years/2018.MD#www-2018-april)
* ### [ICDM](http://icdm2020.bigke.org/) - [2020](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_icdm20/README.md) | [2019](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_years/2019.MD#icdm-2019-nov) | [2018](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_years/2018.MD#icdm-2018-nov)
- ## Artificial Intelligence Conferences
* ### [AAAI](https://aaai.org/Conferences/AAAI-21/) - [2021](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_aaai21/README.md) | [2020](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_aaai20/README.md) | [2019](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_aaai19/README.md) | [2018](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_years/2018.MD#aaai-2018-feb) | [2017](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_years/2017.MD#aaai-2017)
* ### [IJCAI](https://ijcai-21.org/) - [2020](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_ijcai20/README.md) | [2019](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_ijcai19/README.md) | [2018](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_years/2018.MD#ijcai-2018-jul) | [2017](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_years/2017.MD#ijcai-2017)
* ### [UAI](http://auai.org/~w-auai/uai2021/) - [2020](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/README.md#uai-2020-aug) | [2019](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_years/2019.MD#uai-2019-jul) | [2018](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_years/2018.MD#uai-2018-aug)
- ## Natural Language Processing Conferences
* ### [ACL](https://2021.aclweb.org/) - [2020](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_acl20/README.md) | [2019](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_acl19/README.md) | [2018](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_years/2018.MD#acl-2018-jul)
* ### [EMNLP](https://2020.emnlp.org/) - [2020](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_emnlp20/README.md) | [2019](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_emnlp19/README.md) | [2018](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_years/2018.MD#emnlp-2018-nov) | [2017](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_years/2017.MD#emnlp-2017)
* ### [NAACL](https://2021.naacl.org/) - [2019](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_years/2019.MD#naacl-2019-jun) | [2018](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_years/2018.MD#naacl-2018-jun)
# Top 10 Most-cited Publications
1. ### [Semi-Supervised Classification with Graph Convolutional Networks](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_pre18/gcn_iclr17/README.md)
1. ### [Graph Attention Networks](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_conf18/gan_iclr18/README.md)
1. ### [Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_pre18/chebnet_nips16/README.md)
1. ### [Inductive Representation Learning on Large Graphs](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_pre18/graphsage_nips17/README.md)
1. ### [Spectral Networks and Locally Connected Networks on Graphs](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_pre18/graphcnn_iclr14/README.md)
1. ### [The Graph Neural Network Model](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_pre18/gnn_tnn09/README.md)
1. ### [Neural Message Passing for Quantum Chemistry](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_pre18/mpnn_icml17/README.md)
1. ### [Convolutional Networks on Graphs for Learning Molecular Fingerprints](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_pre18/graphcnn_nips15/README.md)
1. ### [Gated Graph Sequence Neural Networks](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_pre18/ggnn_iclr16/README.md)
1. ### [Learning Convolutional Neural Networks for Graphs](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/publications_pre18/gcn_icml16/README.md)
# Related Workshops
- ## 2021
* ### [Geometrical and Topological Representation Learning (ICLR)](https://gt-rl.github.io/)
* ### [Graph Learning Benchmarks (WebConf)](https://graph-learning-benchmarks.github.io/)
* ### [Deep Learning on Graphs: Methods and Applications (AAAI)](https://deep-learning-graphs.bitbucket.io/dlg-aaai21/)
* ### [Graphs and more Complex structures for Learning and Reasoning (AAAI)](https://sites.google.com/view/gclr2021/)
- ## 2020
* ### [Differential Geometry meets Deep Learning (NeurIPS)](https://sites.google.com/view/diffgeo4dl/home)
* ### [Deep Learning on Graphs: Methods and Applications (KDD)](https://deep-learning-graphs.bitbucket.io/dlg-kdd20/)
* ### [Mining and Learning with Graphs (KDD)](http://www.mlgworkshop.org/2020/)
* ### [Graph Representation Learning and Beyond (GRL+) (ICML)](https://grlplus.github.io/)
* ### [Bridge Between Perception and Reasoning: Graph Neural Networks and Beyond (ICML)](https://logicalreasoninggnn.github.io/)
* ### [Deep Learning for Graphs (WWW)](https://www.aminer.cn/dl4g_www2020)
* ### [Deep Learning on Graphs: Methodologies and Applications (AAAI)](https://deep-learning-graphs.bitbucket.io/dlg-aaai20/)
- ## 2019
* ### [Graph Representation Learning (NeurIPS)](https://grlearning.github.io/)
* ### [Scene Graph Representation and Learning (ICCV)](https://cs.stanford.edu/people/ranjaykrishna/sgrl/index.html)
* ### [Deep Learning on Graphs: Methods and Applications (KDD)](https://dlg2019.bitbucket.io/)
* ### [Learning and Reasoning with Graph-Structured Representations (ICML)](https://graphreason.github.io/)
* ### [Representation Learning on Graphs and Manifolds (ICLR)](https://rlgm.github.io/)
- ## 2018
* ### [Relational Representation Learning (NeurIPS)](https://r2learning.github.io/)