# gordicaleksa/pytorch-GAT

<https://repo.masters-masters.com/en/repos/gordicaleksa/pytorch-GAT>

[Home](https://repo.masters-masters.com/en) › [gordicaleksa](https://repo.masters-masters.com/en/owners/gordicaleksa) › [pytorch-GAT](https://repo.masters-masters.com/en/repos/gordicaleksa/pytorch-GAT)

gordicaleksa/pytorch-GAT has 2,691 stars on GitHub. Its RepoMasters card: RC tier. My implementation of the original GAT paper (Veličković et al.). I've…

| Field | Value |
| --- | --- |
| Owner | [gordicaleksa](https://repo.masters-masters.com/en/owners/gordicaleksa) |
| Stars | 2,691 |
| Forks | 356 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2020 |
| Topics | gat, graph-attention-networks, attention-mechanism, self-attention, pytorch, python, attention, pytorch-gat, gat-tutorial, deep-learning |
| Tier | [RC (2,000 to 4,999 ★)](https://repo.masters-masters.com/en/ranks/blockbuster) |
| View on GitHub | [gordicaleksa/pytorch-GAT](https://github.com/gordicaleksa/pytorch-GAT) |

## Repository

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples\!

The tier for repos with 2,000 to 4,999 ★. Published odds per card pulled: 3%. Rarity: Epic.

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