Molecular Classification on HIV
85.6ROC-AUCMolPeg
Evaluation results
| Method | Links | ||
|---|---|---|---|
| MolPegPruning Ratio %=20, Pruning Type=Dynamic, Backbone=GIN, Pre-training=GraphMAE2024.09 | 85.6 | — | |
| Whole DatasetPruning Ratio %=0, Backbone=GIN, Pre-training=GraphMAE2024.09 | 85.1 | — | |
| MolPegPruning Ratio %=90, Pruning Type=Dynamic, Backbone=GIN, Pre-training=GraphMAE2024.09 | 83.7 | — | |
| Previous SOTA2026.01 | 83.5 | — | |
| MolSightInput Modality=2D image, Training Curriculum=S62026.05 | 83.2 | — | |
| InfoBatchPruning Ratio %=90, Pruning Type=Dynamic, Backbone=GIN, Pre-training=GraphMAE, Annealing=Removed2024.09 | 82.9 | — | |
| UCBPruning Ratio %=90, Pruning Type=Dynamic, Backbone=GIN, Pre-training=GraphMAE2024.09 | 82.6 | — | |
| ε-greedyPruning Ratio %=90, Pruning Type=Dynamic, Backbone=GIN, Pre-training=GraphMAE2024.09 | 82.5 | — | |
| Soft RandomPruning Ratio %=90, Pruning Type=Dynamic, Backbone=GIN, Pre-training=GraphMAE2024.09 | 82.3 | — | |
| Uni-MolInput Modality=Molecular graph, uses ground-truth 3D conformers=true2026.05 | 82 | — | |
| Hard RandomPruning Ratio %=80, Pruning Type=Static, Backbone=GIN, Pre-training=GraphMAE2024.09 | 81.1 | — | |
| GlisterPruning Ratio %=90, Pruning Type=Static, Backbone=GIN, Pre-training=GraphMAE2024.09 | 80.9 | — | |
| UniMol2025.12 | 80.8 | — | |
| GraNd-20Pruning Ratio %=90, Pruning Type=Static, Backbone=GIN, Pre-training=GraphMAE2024.09 | 80.1 | — | |
| ForgettingPruning Ratio %=90, Pruning Type=Static, Backbone=GIN, Pre-training=GraphMAE2024.09 | 80 | — | |
| EL2N-20Pruning Ratio %=90, Pruning Type=Static, Backbone=GIN, Pre-training=GraphMAE2024.09 | 79.8 | — | |
| MSTHScale=Multi-Scale, Mechanism=Attention2026.01 | 79.5 | — | |
| MOLINTERACTInput Modality=Molecular graph2026.05 | 79.5 | — | |
| Least ConfidencePruning Ratio %=90, Pruning Type=Static, Backbone=GIN, Pre-training=GraphMAE2024.09 | 79.2 | — | |
| LLM4SD2025.12 | 79.01 | — | |
| MOLEBLENDInput Modality=Molecular graph2026.05 | 79 | — | |
| MoleculeSDEInput Modality=Molecular graph2026.05 | 78.8 | — | |
| EntropyPruning Ratio %=90, Pruning Type=Static, Backbone=GIN, Pre-training=GraphMAE2024.09 | 78.7 | — | |
| DPPruning Ratio %=90, Pruning Type=Static, Backbone=GIN, Pre-training=GraphMAE2024.09 | 77.9 | — | |
| Hard RandomPruning Ratio %=90, Pruning Type=Static, Backbone=GIN, Pre-training=GraphMAE2024.09 | 77.7 | — | |
| CDPruning Ratio %=90, Pruning Type=Static, Backbone=GIN, Pre-training=GraphMAE2024.09 | 77.5 | — | |
| GraNd-4Pruning Ratio %=90, Pruning Type=Static, Backbone=GIN, Pre-training=GraphMAE2024.09 | 77.5 | — | |
| GraphMVP2025.12 | 77 | — | |
| DeepFoolPruning Ratio %=90, Pruning Type=Static, Backbone=GIN, Pre-training=GraphMAE2024.09 | 76.8 | — | |
| CraigPruning Ratio %=90, Pruning Type=Static, Backbone=GIN, Pre-training=GraphMAE2024.09 | 76.5 | — | |
| InfluencePruning Ratio %=90, Pruning Type=Static, Backbone=GIN, Pre-training=GraphMAE2024.09 | 76.5 | — | |
| 3D InfoMaxInput Modality=Molecular graph2026.05 | 76.1 | — | |
| MoMu2025.12 | 75.9 | — | |
| MSTHScale=Multi-Scale, Mechanism=Homeostasis2026.01 | 75 | — | |
| GraphMVPInput Modality=Molecular graph2026.05 | 74.8 | — | |
| ChemATP2025.12 | 72.7 | — | |
| InstructMol2025.12 | 68.9 | — | |
| MolRAG2025.12 | 64.76 | — | |
| DAPrompting Strategy=Direct Answer2025.12 | 64.52 | — | |
| HerdingPruning Ratio %=90, Pruning Type=Static, Backbone=GIN, Pre-training=GraphMAE2024.09 | 63.6 | — | |
| CoTPrompting Strategy=Chain-of-Thought2025.12 | 62.66 | — | |
| K-MeansPruning Ratio %=90, Pruning Type=Static, Backbone=GIN, Pre-training=GraphMAE2024.09 | 61.8 | — |