wehub-resource-sync
49 lines
1.1 KiB
Markdown
49 lines
1.1 KiB
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 (in Tensorflow):
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[https://github.com/PetarV-/GAT](https://github.com/PetarV-/GAT).
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- Popular pytorch implementation:
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[https://github.com/Diego999/pyGAT](https://github.com/Diego999/pyGAT).
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Dependencies
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------------
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- tensorflow 2.1.0+
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- requests
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```bash
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pip install tensorflow requests
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DGLBACKEND=tensorflow
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```
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How to run
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----------
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Run with following:
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```bash
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python3 train.py --dataset=cora --gpu=0
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```
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```bash
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python3 train.py --dataset=citeseer --gpu=0 --early-stop
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```
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```bash
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python3 train.py --dataset=pubmed --gpu=0 --num-out-heads=8 --weight-decay=0.001 --early-stop
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```
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Results
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-------
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| Dataset | Test Accuracy | Baseline (paper) |
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| -------- | ------------- | ---------------- |
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| Cora | 84.2 | 83.0(+-0.7) |
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| Citeseer | 70.9 | 72.5(+-0.7) |
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| Pubmed | 78.5 | 79.0(+-0.3) |
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* All the accuracy numbers are obtained after 200 epochs.
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* All time is measured on EC2 p3.2xlarge instance w/ V100 GPU.
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