dmlc--dgl
Mufei LiGraph Attention Networks v2 (GATv2)
- Paper link: How Attentive are Graph Attention Networks?
- Author's code repo: https://github.com/tech-srl/how_attentive_are_gats.
- Annotated implemetnation: [https://nn.labml.ai/graphs/gatv2/index.html]
Dependencies
- torch
- requests
- sklearn
How to run
Run with following:
python3 train.py --dataset=cora
python3 train.py --dataset=citeseer
python3 train.py --dataset=pubmed
Results
| Dataset | Test Accuracy |
|---|---|
| Cora | 82.10 |
| Citeseer | 70.00 |
| Pubmed | 77.2 |
- All the accuracy numbers are obtained after 200 epochs.