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