Molecular Property Prediction On Hiv 1
Métriques
ROC-AUC
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | ROC-AUC | Paper Title | Repository |
|---|---|---|---|
| Uni-Mol | 80.8 | Uni-Mol: A Universal 3D Molecular Representation Learning Framework | |
| ChemBFN | 79.37 | A Bayesian Flow Network Framework for Chemistry Tasks | |
| S-CGIB | 78.33±1.34 | Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck | |
| Deep-CBN | 97.3 | Integrating convolutional layers and biformer network with forward-forward and backpropagation training |
0 of 4 row(s) selected.