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naganandy/graph-based-deep-learning-literature
Jupyter Notebooklinks to conference publications in graph-based deep learning
graph-neural-networksgraph-convolutional-networksgraphdeep-learningneural-networksgraph-representation-learningconference-publications
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Graph-based Deep Learning Literature
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.
Machine Learning Conferences
Data Mining Conferences
Artificial Intelligence Conferences
Computer Vision Conferences
Computational Linguistics Conferences
Top 10 Most Cited Publications (on Graph Neural Networks)
- 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
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