kegg
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Bio-network classification | KEGG 10-fold stratified K-Fold cross-validation | Precision (Human Diseases)78.6 | 11 | |
| Marginal Likelihood Estimation | KEGG | Test Log-Likelihood1.08 | 11 | |
| DDI Prediction | KEGG | Sensitivity99 | 7 | |
| Drug-Drug Interaction Prediction | KEGG | F1 Score93.9 | 6 | |
| Exact Gaussian Process Regression | kegg undir (80 20 train test) | Metric- | 0 | |
| Exact Gaussian Process Regression | kegg_dir (train test) | Metric- | 0 |
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