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GAT

A minimal PyTorch implementation for Graph Attention Networks (GAT).

Files

  • gat.py - Graph Attention Network implementation in PyTorch.

Usage

  1. Install PyTorch if not already installed.
  2. Run the script with Python:
python3 gat.py

Notes

  • This repository contains a basic GAT example and can be extended for graph learning experiments.
  • Add datasets, training commands, and model details as the project grows.

If you want to include visuals, add images to the repository and reference them with a relative path, e.g. ![Attention Mechanism](assets/AttentionMechanism.png).

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A Graph operation in GNN

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