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
- 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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jupyter-notebook (6,312)

deep-learning (3,987)

neural-networks (439)

graph (404)

graph-neural-networks (106)

graph-convolutional-networks (50)

graph-representation-learning (18)