Drug Discovery On Toxcast
Metriken
AUC
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
| Paper Title | ||
|---|---|---|
| TrimNet | 0.777 | TrimNet: learning molecular representation from triplet messages for biomedicine |
| GraphConv + dummy super node | 0.768 | Learning Graph-Level Representation for Drug Discovery |
| GraphConv | 0.754 | Convolutional Networks on Graphs for Learning Molecular Fingerprints |
| GIT-Mol(G+S) | 0.668 | GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and Text |
| ContextPred | 0.657 | Strategies for Pre-training Graph Neural Networks |
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