Skip to content
links to conference publications in graph-based deep learning
Jupyter Notebook
Branch: master
Clone or download
Latest commit fd36f1b Nov 19, 2019
Type Name Latest commit message Commit time
Failed to load latest commit information.
conference-publications Update Nov 19, 2019 Update Nov 11, 2019

Graph-based deep learning literature

The repository contains links to

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

Top 10 most cited publications

  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. Inductive Representation Learning on Large Graphs

  6. The Graph Neural Network Model

  7. Gated Graph Sequence Neural Networks

  8. Neural Message Passing for Quantum Chemistry

  9. Graph Attention Networks

  10. Learning Convolutional Neural Networks for Graphs

Related workshops

Surveys / literature reviews

You can’t perform that action at this time.