drug
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Coreset Construction | Drug | Wasserstein Distance3.23 | 30 | |
| Multi-class Classification | Drug | Accuracy68.6 | 8 | |
| Hyperedge Prediction | Drug (test) | AUC0.964 | 7 | |
| Hyperedge prediction | drug non-k-uniform (test) | AUC96.1 | 7 | |
| Molecular Graph Generation | DRUG | Atom Stability84.5 | 6 | |
| Energy and Force Prediction | Drug DPA2 (test) | Energy RMSE (meV/atom)1.4 | 5 | |
| Network reconstruction | drug | AUC0.988 | 5 | |
| Accuracy Estimation | Drug | Mean Error (Mean)5.6 | 3 | |
| Pair-wise edge prediction | drug non-k-uniform (test) | AUC99.9 | 2 |
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