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 3 months ago)

Stargazers 141 (0 this week)

Watchers 3 (0 this week)

Forks 17

License mit

Ranking

RepositoryStats indexes 523,840 repositories, of these Graph-COM/GSAT is ranked #212,207 (59th percentile) for total stargazers, and #394,351 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #4,859/14,471.

Graph-COM/GSAT is also tagged with popular topics, for these it's ranked: deep-learning (#4,002/7720), pytorch (#2,805/5505), graph-neural-networks (#202/507), interpretability (#61/144)

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: 2024-05-30 @ 06:33am, id: 453428804 / R_kgDOGwbGRA