# Graph Attention Network

> Source: https://sukruyusufkaya.com/en/glossary/graph-attention-network
> Updated: 2026-05-13T20:02:49.387Z
> Type: glossary
> Category: derin-ogrenme
**TLDR:** A GNN architecture that combines neighboring nodes with learned attention weights rather than treating them equally.

<p>A Graph Attention Network does not assume that all neighbors are equally important; instead, it learns which ones matter more. This makes information flow over the graph more selective and context-sensitive. It can be especially advantageous in problems with heterogeneous neighborhood structure. It is a strong example of how the attention idea can be adapted to graph domains.</p>