# tech-srl/how\_attentive\_are\_gats

<https://repo.masters-masters.com/en/repos/tech-srl/how_attentive_are_gats>

[Home](https://repo.masters-masters.com/en) › [tech-srl](https://repo.masters-masters.com/en/owners/tech-srl) › [how\_attentive\_are\_gats](https://repo.masters-masters.com/en/repos/tech-srl/how_attentive_are_gats)

tech-srl/how\_attentive\_are\_gats has 383 stars on GitHub. Its RepoMasters card: Alpha tier. Code for the paper "How Attentive are Graph Attention Networks?"…

| Field | Value |
| --- | --- |
| Owner | [tech-srl](https://repo.masters-masters.com/en/owners/tech-srl) |
| Stars | 383 |
| Forks | 42 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2021 |
| Topics | how, attentive, are, graph, attention, networks, graph-neural-networks, pytorch, graph-attention-networks, gat |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [tech-srl/how\_attentive\_are\_gats](https://github.com/tech-srl/how_attentive_are_gats) |

## Repository

Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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