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Lingfan Yu 74e13eea61 [Model] Update GAT model code (#622)
* fix gat code to use latest edge softmax module

* avoid transpose

* update README

* use edge_softmax op

* mxnet edge softmax op

* mxnet gat

* update README

* fix unittest

* fix ci

* fix mxnet nn test; relax criteria for prod reducer
2019-06-08 21:41:38 -04:00

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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 --num-heads 8
```