Drug Discovery On Sider
Metrics
AUC
Results
Performance results of various models on this benchmark
Model Name | AUC | Paper Title | Repository |
|---|---|---|---|
| elEmBERT-V1 | 0.778 | Structure to Property: Chemical Element Embeddings and a Deep Learning Approach for Accurate Prediction of Chemical Properties | - |
| Ensemble locally constant networks | 0.685 | Oblique Decision Trees from Derivatives of ReLU Networks | - |
| GIT-Mol(G+S) | 0.634 | GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and Text | - |
| ContextPred | 0.627 | Strategies for Pre-training Graph Neural Networks | - |
0 of 4 row(s) selected.