Molecular Property Prediction On Hiv Dataset
Métriques
AUC
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | AUC |
|---|---|
| galactica-a-large-language-model-for-science-1 | 0.759 |
| galactica-a-large-language-model-for-science-1 | 0.724 |
| a-bayesian-flow-network-framework-for | 0.794 |
| self-guided-masked-autoencoders-for-domain | 0.789 |
| dual-view-molecule-pre-training | 0.810 |
| galactica-a-large-language-model-for-science-1 | 0.702 |
| galactica-a-large-language-model-for-science-1 | 0.722 |
| galactica-a-large-language-model-for-science-1 | 0.808 |
| chemberta-2-fine-tuning-for-molecules-hiv | 0.793 |
| molxpt-wrapping-molecules-with-text-for | 0.781 |
| galactica-a-large-language-model-for-science-1 | 0.745 |