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lance123123 9dd8211bac | 1 year ago | |
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dataset | 1 year ago | |
dgl_example | 1 year ago | |
openhgnn_example | 1 year ago | |
pyg_data | 1 year ago | |
pyg_example | 1 year ago | |
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argparse_model.py | 1 year ago |
We implement RCCN baseline on ICDM 2022 : Risk Commodities Detection on Large-Scale E-commerce Graphs. Our implementation include three popular GNN platforms: DGL, PyG and OpenHGNN. You can use it as a reference for data processing, model training and inference.
AP | session1 | session2 |
---|---|---|
pyg | 0.9174 | 0.8931 |
dgl | 0.8751 | 0.8417 |
openhgnn | 0.8658 | 0.8387 |
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