locussam / graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

Graph-based deep learning literature

The repository contains links to conference publications in graph-based deep learning from the conferences below. The links are arranged in the reverse chronological order of conference dates. Please click on a below year beside a conference name to see publications of the conference in that year.

• Machine learning conferences

  • NeurIPS - 2018 | 2017 | 2016

  • ICML - 2019 | 2018 | 2017

  • ICLR - 2019 | 2018 | 2017 | 2016 | 2014

• Computer vision conferences

  • CVPR - 2019 | 2018 | 2017

  • ICCV - 2017

  • ECCV - 2018

• Natural language processing conferences

  • ACL - 2019 | 2018

  • NAACL - 2019 | 2018

  • EMNLP - 2018 | 2017

• Data conferences

  • KDD - 2019 | 2018

  • ICDM - 2018

  • WWW - 2019 | 2018

• Artificial intelligence conferences

  • AAAI - 2019 | 2018 | 2017

  • IJCAI - 2019 | 2018 | 2017

  • UAI - 2018

Top 10 most cited papers

1. Semi-Supervised Classification with Graph Convolutional Networks

2. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

3. Spectral Networks and Locally Connected Networks on Graphs

4. Convolutional Networks on Graphs for Learning Molecular Fingerprints

5. The Graph Neural Network Model

6. Inductive Representation Learning on Large Graphs

7. Learning Convolutional Neural Networks for Graphs

8. Gated Graph Sequence Neural Networks

9. Neural Message Passing for Quantum Chemistry

10. Graph Attention Networks

Relevant workshops

• Scene Graph Representation and Learning (ICCV 2019)

• Deep Learning on Graphs: Methods and Applications (KDD 2019)

• Learning and Reasoning with Graph-Structured Representations (ICML 2019)

• Representation Learning on Graphs and Manifolds (ICLR 2019)

• Relational Representation Learning (NeurIPS 2018)