senya-ashukha / simple-equivariant-gnn

A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks

Date Created 2022-01-13 (2 years ago)

Commits 20 (last one 2 years ago)

Stargazers 124 (0 this week)

Watchers 3 (0 this week)

Forks 12

License apache-2.0

Ranking

RepositoryStats indexes 565,279 repositories, of these senya-ashukha/simple-equivariant-gnn is ranked #244,817 (57th percentile) for total stargazers, and #413,827 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #44,411/111,292.

senya-ashukha/simple-equivariant-gnn is also tagged with popular topics, for these it's ranked: deep-learning (#4,430/8171), pytorch (#3,131/5822), neural-networks (#403/702), deep-neural-networks (#351/618), graph-neural-networks (#228/559)

All Topics

gnn qm9 egnn homo pytorch molecules equivariance deep-learning neural-networks deep-neural-networks graph-neural-networks

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

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updated: 2024-07-23 @ 10:02am, id: 447559582 / R_kgDOGq03ng