Drug Discovery On Sider
评估指标
AUC
评测结果
各个模型在此基准测试上的表现结果
| 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.