Drug Discovery On Hiv Dataset
Métriques
AUC
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | AUC | Paper Title | Repository |
|---|---|---|---|
| GraphConv | 0.822 | Convolutional Networks on Graphs for Learning Molecular Fingerprints | |
| ContextPred | 0.799 | Strategies for Pre-training Graph Neural Networks | - |
| GraphConv + dummy super node + focal loss | 0.851 | Learning Graph-Level Representation for Drug Discovery | |
| TrimNet | 0.804 | TrimNet: learning molecular representation from triplet messages for biomedicine | |
| RNN-DFS | 0.627 | Relational Pooling for Graph Representations |
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