Molecular Property Prediction On Hiv Dataset
Métriques
AUC
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | AUC | Paper Title | Repository |
|---|---|---|---|
| GAL 30B | 0.759 | Galactica: A Large Language Model for Science | |
| GAL 1.3B | 0.724 | Galactica: A Large Language Model for Science | |
| ChemBFN | 0.794 | A Bayesian Flow Network Framework for Chemistry Tasks | |
| SMA | 0.789 | Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning | |
| DVMP | 0.810 | Dual-view Molecule Pre-training | |
| GAL 125M | 0.702 | Galactica: A Large Language Model for Science | |
| GAL 6.7B | 0.722 | Galactica: A Large Language Model for Science | |
| Uni-Mol | 0.808 | Galactica: A Large Language Model for Science | |
| ChemBERTa-2 Fine-tuned | 0.793 | ChemBERTa-2: Fine-Tuning for Molecule’s HIV Replication Inhibition Prediction | |
| MolXPT | 0.781 | MolXPT: Wrapping Molecules with Text for Generative Pre-training | - |
| GAL 120B | 0.745 | Galactica: A Large Language Model for Science |
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