The repository contains links primarily to conference publications in graph-based deep learning. The repository contains links also to
The links to conference publications are arranged in the reverse chronological order of conference dates from the conferences below (and also arranged year-wise for each conference).
- 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
- Spectral Networks and Locally Connected Networks on Graphs
- Neural Message Passing for Quantum Chemistry
- Convolutional Networks on Graphs for Learning Molecular Fingerprints
- Gated Graph Sequence Neural Networks
- How Powerful are Graph Neural Networks?
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