dmlc--dgl
Minjie Wang
e557ed89ff
* update example readme * mx example readme * add results in readme * mx rgcn readme
25 行
746 B
Markdown
25 行
746 B
Markdown
Graph Convolutional Networks (GCN)
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============
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- Paper link: [https://arxiv.org/abs/1609.02907](https://arxiv.org/abs/1609.02907)
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- Author's code repo: [https://github.com/tkipf/gcn](https://github.com/tkipf/gcn). Note that the original code is
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implemented with Tensorflow for the paper.
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Codes
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-----
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The folder contains two implementations of GCN. `gcn_batch.py` uses user-defined
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message and reduce functions. `gcn_spmv.py` uses DGL's builtin functions so
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SPMV optimization could be applied.
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Results
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-------
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Run with following (available dataset: "cora", "citeseer", "pubmed")
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```bash
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python gcn_spmv.py --dataset cora --gpu 0
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```
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* cora: ~0.810 (0.79-0.83) (paper: 0.815)
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* citeseer: 0.707 (paper: 0.703)
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* pubmed: 0.792 (paper: 0.790)
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