dmlc--dgl
Chang Liu
6e1be69a84
* Refactor gat example * Add ppi support * Minor update * Update * Update * Change valid_xxx to val_xxx * Readme Update * Update Co-authored-by: Mufei Li <mufeili1996@gmail.com>
31 行
923 B
Markdown
31 行
923 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 (tensorflow implementation):
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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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How to run
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-------
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Run with the following for multiclass node classification (available datasets: "cora", "citeseer", "pubmed")
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```bash
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python3 train.py --dataset cora
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```
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Run with the following for multilabel classification with PPI dataset
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```bash
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python3 train_ppi.py
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```
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> **_NOTE:_** Users may occasionally run into low accuracy issue (e.g., test accuracy < 0.8) due to overfitting. This can be resolved by adding Early Stopping or reducing maximum number of training epochs.
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Summary
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* cora: ~0.821
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* citeseer: ~0.710
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* pubmed: ~0.780
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* ppi: ~0.9744
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