# HannesStark/3DInfomax

<https://repo.masters-masters.com/en/repos/HannesStark/3DInfomax>

[Home](https://repo.masters-masters.com/en) › [HannesStark](https://repo.masters-masters.com/en/owners/HannesStark) › [3DInfomax](https://repo.masters-masters.com/en/repos/HannesStark/3DInfomax)

HannesStark/3DInfomax has 171 stars on GitHub. Its RepoMasters card: Prototype tier. Making self-supervised learning work on molecules by using their 3D…

| Field | Value |
| --- | --- |
| Owner | [HannesStark](https://repo.masters-masters.com/en/owners/HannesStark) |
| Stars | 171 |
| Forks | 34 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2021 |
| Topics | graph-representation-learning, self-supervised-learning, graph, molecules, 3d, pytorch-geometric, dgl-graph, gnn, graph-neural-networks |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [HannesStark/3DInfomax](https://github.com/HannesStark/3DInfomax) |

## Repository

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

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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