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 155 (0 this week)

Watchers 3 (0 this week)

Forks 31

License unknown

Ranking

RepositoryStats indexes 589,134 repositories, of these HannesStark/3DInfomax is ranked #215,516 (63rd percentile) for total stargazers, and #424,515 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #38,889/117,584.

HannesStark/3DInfomax is also tagged with popular topics, for these it's ranked: 3d (#591/1189), graph (#399/913), graph-neural-networks (#207/584)

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: 2024-11-09 @ 08:24pm, id: 368076168 / R_kgDOFfBliA