Link Prediction On Decagon
评估指标
AUPRC
AUROC
mAP@50
评测结果
各个模型在此基准测试上的表现结果
| Paper Title | Repository | ||||
|---|---|---|---|---|---|
| TIP | 0.890 | 0.914 | 0.890 | Tri-graph Information Propagation for Polypharmacy Side Effect Prediction | |
| Decagon | 0.832 | 0.872 | 0.803 | Modeling polypharmacy side effects with graph convolutional networks |
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