GAT

A repository containing all about the Graph Attention Networks (GATs).

Papers

The original paper introducing the architecture of the GATs:

Graph Attention Networks (Veličković et al., ICLR 2018)

There is a recently published paper that provides a new version of this architecture (GATv2) with dynamic attention.

​ How Attentive are Graph Attention Networks? (Brody et al., arXiv 2021)

Presentations

I recently introduced the original GAT architecture to my coursemates in the Deep Learning course (spring 2021) at IUST. The presentation file of this talk is available in the repository.

Other sources

Videos:

• Understanding Graph Attention Networks by DeepFindr

• Graph Attention Networks (GAT) | GNN Paper Explained by The AI Epiphany

• Graph Attention Network Project Walkthrough by The AI Epiphany

Codes:

• GAT - Original implementation by Petar Veličković

• How Attentive are Graph Attention Networks?

• GAT - Graph Attention Network (PyTorch) by Aleksa Gordic

Blog posts:

• Graph Attention Networks Under the Hood by Giuseppe Futia