The repository primarily contains links to conference publications in graph-based deep learning.
The repository also contains links to:
Publications within each conference and year below are organised into topic-specific categories.
- 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
- The Graph Neural Network Model
- A Comprehensive Survey on Graph Neural Networks
- Neural Message Passing for Quantum Chemistry
- Spectral Networks and Locally Connected Networks on Graphs
- How Powerful are Graph Neural Networks?
- Convolutional Networks on Graphs for Learning Molecular Fingerprints
