HannesStark / 3DInfomax

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

Date Created 2021-05-17 (3 years ago)

Commits 900 (last one 2 years ago)

Stargazers 154 (2 this week)

Watchers 3 (0 this week)

Forks 31

License unknown

Ranking

RepositoryStats indexes 579,555 repositories, of these HannesStark/3DInfomax is ranked #213,996 (63rd percentile) for total stargazers, and #420,420 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #38,454/115,123.

HannesStark/3DInfomax is also tagged with popular topics, for these it's ranked: 3d (#584/1175), graph (#396/904), graph-neural-networks (#205/578)

Other Information

HannesStark/3DInfomax has Github issues enabled, there are 3 open issues and 16 closed issues.

All Topics

3d gnn graph dgl-graph molecules pytorch-geometric graph-neural-networks self-supervised-learning graph-representation-learning

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Recent Commit History

6 commits on the default branch (master) since jan '22

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The only known language in this repository is Python

updated: 2024-11-06 @ 08:27pm, id: 368076168 / R_kgDOFfBliA