Regression on MoleculeNet ESOL
0.72RMSETRIDENT
Evaluation Results
| Method | Links | |
|---|---|---|
| TRIDENTvariant=M-M2025.06 | 0.72 | |
| MolXPT2025.06 | 0.75 | |
| MolFormer2025.06 | 0.78 | |
| Uni-Mol2025.06 | 0.79 | |
| BioT5+2025.06 | 0.79 | |
| BioT52025.06 | 0.8 | |
| MolT52025.06 | 0.82 | |
| ChemBERTa-2Pre-training strategy=MTR, Pre-training size=10M2026.05 | 0.858 | |
| ChemBERTa-2Pre-training strategy=MTR, Pre-training size=5M2026.05 | 0.874 | |
| GCNPre-training strategy=None2026.05 | 0.885 | |
| ChemBERTa-2Pre-training strategy=MTR, Pre-training size=77M2026.05 | 0.889 | |
| Chem-GMNetPre-training strategy=scratch, k=102026.05 | 0.938 | |
| ChemBERTa-2Pre-training strategy=MLM, Pre-training size=5M2026.05 | 0.946 | |
| ChemBERTa-2Pre-training strategy=MLM, Pre-training size=10M2026.05 | 0.961 | |
| Chem-GMNetPre-training strategy=MLM, Pre-training size=10M2026.05 | 0.97 | |
| Chem-GMNetPre-training strategy=scratch, k=82026.05 | 1.01 | |
| ChemBERTa-2Pre-training strategy=MLM, Pre-training size=77M2026.05 | 1.025 | |
| D-MPNN (Chemprop)Pre-training strategy=None2026.05 | 1.105 | |
| Random ForestPre-training strategy=None2026.05 | 1.741 |