Graph-COM / GSAT

[ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.

Date Created 2022-01-29 (2 years ago)

Commits 47 (last one 9 months ago)

Stargazers 162 (1 this week)

Watchers 5 (0 this week)

Forks 21

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Ranking

RepositoryStats indexes 589,134 repositories, of these Graph-COM/GSAT is ranked #208,789 (65th percentile) for total stargazers, and #333,644 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #4,915/17,281.

Graph-COM/GSAT is also tagged with popular topics, for these it's ranked: deep-learning (#3,964/8438), pytorch (#2,781/5977), graph-neural-networks (#197/584), interpretability (#62/167)

Other Information

Homepage URL: https://arxiv.org/abs/2201.12987

All Topics

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

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47 commits on the default branch (main) since jan '22

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updated: 2024-12-01 @ 03:55am, id: 453428804 / R_kgDOGwbGRA