wehub-resource-sync
20 lines
806 B
Markdown
20 lines
806 B
Markdown
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks
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============
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- Paper link: [Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks](https://arxiv.org/abs/1905.07953)
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- Author's code repo: [https://github.com/google-research/google-research/blob/master/cluster_gcn/](https://github.com/google-research/google-research/blob/master/cluster_gcn/).
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This repo reproduce the reported speed and performance maximally on Reddit and PPI. However, the diag enhancement is not covered, as the GraphSage aggregator already achieves satisfying F1 score.
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Dependencies
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------------
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- Python 3.7+(for string formatting features)
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- PyTorch 1.9.0+
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- scikit-learn
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- TorchMetrics 0.11.4
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## Run Experiments
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```bash
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python cluster_gcn.py
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```
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