# diegoantognini/pyGAT

<https://repo.masters-masters.com/en/repos/diegoantognini/pyGAT>

[Home](https://repo.masters-masters.com/en) › [diegoantognini](https://repo.masters-masters.com/en/owners/diegoantognini) › [pyGAT](https://repo.masters-masters.com/en/repos/diegoantognini/pyGAT)

diegoantognini/pyGAT has 3,125 stars on GitHub. Its RepoMasters card: RC tier. Pytorch implementation of the Graph Attention Network model by Veličković et…

| Field | Value |
| --- | --- |
| Owner | [diegoantognini](https://repo.masters-masters.com/en/owners/diegoantognini) |
| Stars | 3,125 |
| Forks | 700 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2018 |
| Topics | graph-attention-networks, attention-mechanism, self-attention, pytorch, neural-networks, python |
| Tier | [RC (2,000 to 4,999 ★)](https://repo.masters-masters.com/en/ranks/blockbuster) |
| View on GitHub | [diegoantognini/pyGAT](https://github.com/diegoantognini/pyGAT) |

## Repository

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

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

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