The repository contains links to
- Conference publications and the top 10 most-cited publications
- Related workshops
- Surveys / Literature reviews / Books
in graph-based deep learning. The links to conference publications 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 appeared at the conference in the year.
- Semi-Supervised Classification with Graph Convolutional Networks
- Graph Attention Networks
- Inductive Representation Learning on Large Graphs
- Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
- Spectral Networks and Locally Connected Networks on Graphs
- The Graph Neural Network Model
- Neural Message Passing for Quantum Chemistry
- Convolutional Networks on Graphs for Learning Molecular Fingerprints
- Gated Graph Sequence Neural Networks
- Learning Convolutional Neural Networks for Graphs