# Graph-COM/GSAT

<https://repo.masters-masters.com/en/repos/Graph-COM/GSAT>

[Home](https://repo.masters-masters.com/en) › [Graph-COM](https://repo.masters-masters.com/en/owners/Graph-COM) › [GSAT](https://repo.masters-masters.com/en/repos/Graph-COM/GSAT)

Graph-COM/GSAT has 173 stars on GitHub. Its RepoMasters card: Prototype tier. \[ICML 2022\] Graph Stochastic Attention (GSAT) for interpretable and…

| Field | Value |
| --- | --- |
| Owner | [Graph-COM](https://repo.masters-masters.com/en/owners/Graph-COM) |
| Stars | 173 |
| Forks | 26 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2022 |
| Topics | interpretability, graph-neural-networks, deep-learning, pytorch, interpretable-machine-learning, xai |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Graph-COM/GSAT](https://github.com/Graph-COM/GSAT) |

## Repository

\[ICML 2022\] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.

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

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.