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2026-07-13 13:35:51 +08:00

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Graph Attention Networks (GAT)
============
- Paper link: [https://arxiv.org/abs/1710.10903](https://arxiv.org/abs/1710.10903)
- Author's code repo:
[https://github.com/PetarV-/GAT](https://github.com/PetarV-/GAT).
Note that the original code is implemented with Tensorflow for the paper.
### Dependencies
* MXNet nightly build
* requests
```bash
pip install mxnet --pre
pip install requests
```
### Usage (make sure that DGLBACKEND is changed into mxnet)
```bash
DGLBACKEND=mxnet python3 train.py --dataset cora --gpu 0
DGLBACKEND=mxnet python3 train.py --dataset citeseer --gpu 0 --early-stop
DGLBACKEND=mxnet python3 train.py --dataset pubmed --gpu 0 --early-stop
```