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Drug Discovery On Hiv Dataset
Metrics
AUC
Results
Performance results of various models on this benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| GraphConv + dummy super node + focal loss | 0.851 | Learning Graph-Level Representation for Drug Discovery | |
| GraphConv | 0.822 | Convolutional Networks on Graphs for Learning Molecular Fingerprints | |
| TrimNet | 0.804 | TrimNet: learning molecular representation from triplet messages for biomedicine | - |
| ContextPred | 0.799 | Strategies for Pre-training Graph Neural Networks | |
| RNN-DFS | 0.627 | Relational Pooling for Graph Representations |
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