https://github.com/Graph-COM/GSAT

[ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.
https://github.com/Graph-COM/GSAT

deep-learning graph-neural-networks interpretability interpretable-machine-learning pytorch xai

Last synced: 7 months ago
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[ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.

• Host: GitHub
• URL: https://github.com/Graph-COM/GSAT
• Owner: Graph-COM
• License: mit
• Created: 2022-01-29T14:58:30.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2024-02-19T17:31:48.000Z (almost 2 years ago)
• Last Synced: 2025-04-04T07:01:41.843Z (10 months ago)
• Topics: deep-learning, graph-neural-networks, interpretability, interpretable-machine-learning, pytorch, xai
• Language: Jupyter Notebook
• Homepage: https://arxiv.org/abs/2201.12987
• Size: 1.57 MB
• Stars: 167
• Watchers: 4
• Forks: 22
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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