gat

Graph Attention Networks (GAT)

• Paper link: https://arxiv.org/abs/1710.10903
• Author's code repo (tensorflow implementation): https://github.com/PetarV-/GAT.
• Popular pytorch implementation: https://github.com/Diego999/pyGAT.

How to run

NOTE: train.py is deprecated and please check the new version in //examples/core/gat/train.py.

Run with the following for multiclass node classification (available datasets: "cora", "citeseer", "pubmed")

python3 train.py --dataset cora

Run with the following for multilabel classification with PPI dataset

python3 train_ppi.py

NOTE: Users may occasionally run into low accuracy issue (e.g., test accuracy < 0.8) due to overfitting. This can be resolved by adding Early Stopping or reducing maximum number of training epochs.

Summary

• cora: ~0.821
• citeseer: ~0.710
• pubmed: ~0.780
• ppi: ~0.9744