Molecular Property Prediction on SIDER
0.7179ROC AUCChemATP
Evaluation Results
| Method | Links | |
|---|---|---|
| ChemATP2025.12 | 0.7179 | |
| UniMol2025.12 | 0.659 | |
| Uni-MolPre-training status=W. pre-training2026.02 | 0.659 | |
| LLM4SD2025.12 | 0.654 | |
| CHCLModel=CHCL2026.04 | 0.6428 | |
| GraphMVP2025.12 | 0.639 | |
| DAPrompting Strategy=Direct Answer2025.12 | 0.6371 | |
| AD-GCLModel=AD-GCL2026.04 | 0.6328 | |
| CoTPrompting Strategy=Chain-of-Thought2025.12 | 0.6279 | |
| PretrainGNNPre-training status=W. pre-training2026.02 | 0.627 | |
| AutoGCLModel=AutoGCL2026.04 | 0.6251 | |
| GMCLModel=GMCL2026.04 | 0.6175 | |
| GraphLoGPre-training dataset=ZINC15, Protocol=Fine-tuning2022.05 | 0.612 | |
| AttrMaskingPre-training dataset=ZINC15, Protocol=Fine-tuning2022.05 | 0.61 | |
| AttrMaskingModel=AttrMasking2026.04 | 0.61 | |
| MolCLRGCNModel Type=Graph-based2026.06 | 0.61 | |
| ContextPredPre-training dataset=ZINC15, Protocol=Fine-tuning2022.05 | 0.609 | |
| ContextPredModel=ContextPred2026.04 | 0.609 | |
| MolCLRGINModel Type=Graph-based2026.06 | 0.607 | |
| Attentive FPPre-training status=W/o. pre-training2026.02 | 0.606 | |
| GraphCLModel=GraphCL2026.04 | 0.6053 | |
| GraphCLPre-training dataset=ZINC15, Protocol=Fine-tuning2022.05 | 0.605 | |
| MoMu2025.12 | 0.605 | |
| EdgePredModel=EdgePred2026.04 | 0.604 | |
| GraphMAEPre-training dataset=ZINC15, Protocol=Fine-tuning2022.05 | 0.603 | |
| JOAOPre-training dataset=ZINC15, Protocol=Fine-tuning2022.05 | 0.6 | |
| JOAOModel=JOAO2026.04 | 0.5997 | |
| MolCLRCMPNNModel Type=Graph-based2026.06 | 0.597 | |
| InfomaxPre-training dataset=ZINC15, Protocol=Fine-tuning2022.05 | 0.584 | |
| InfomaxModel=Infomax2026.04 | 0.584 | |
| ChiDeKPre-training status=W/o. pre-training2026.02 | 0.583 | |
| GROVERModel Type=Graph-based2026.06 | 0.582 | |
| InstructMol2025.12 | 0.578 | |
| No PretrainModel=No Pretrain2026.04 | 0.573 | |
| No-pretrainPre-training dataset=None, Protocol=Supervised2022.05 | 0.572 | |
| D-MPNNPre-training status=W/o. pre-training2026.02 | 0.57 | |
| GPT-4oStrategy=+MOLE-RAG2026.06 | 0.566 | |
| MGCNModel Type=Graph-based2026.06 | 0.552 | |
| SchNetModel Type=Graph-based2026.06 | 0.545 | |
| ChemDFM14BStrategy=+MOLE-RAG2026.06 | 0.539 | |
| GPT-4o-miniStrategy=+MOLE-RAG2026.06 | 0.535 | |
| Qwen34B-InstStrategy=+MOLE-RAG2026.06 | 0.528 | |
| GPT-4o-miniStrategy=Baseline2026.06 | 0.516 | |
| GPT-4oStrategy=Baseline2026.06 | 0.516 | |
| Qwen34B-InstStrategy=Baseline2026.06 | 0.511 | |
| Mistral7B-InstStrategy=+MOLE-RAG2026.06 | 0.508 | |
| Mistral7B-InstStrategy=Baseline2026.06 | 0.504 | |
| Llama3.2-3BStrategy=+MOLE-RAG2026.06 | 0.503 | |
| Llama3.2-3BStrategy=Baseline2026.06 | 0.499 | |
| ChemDFM14BStrategy=Baseline2026.06 | 0.492 |