PROTEINS
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Graph Classification | PROTEINS | Accuracy85.4 | 994 | |
| Graph Classification | PROTEINS (10-fold cross-validation) | Accuracy83.88 | 214 | |
| Graph Classification | PROTEINS (test) | Accuracy84.91 | 180 | |
| Graph Classification | PROTEINS TUDataset | Accuracy90.3 | 44 | |
| Network Classification | PROTEINS | F1 Score79.46 | 35 | |
| Graph Classification | PROTEINS → DD Feature Shift | Accuracy62.4 | 28 | |
| Model Fingerprinting | PROTEINS | AUC97.1 | 24 | |
| Semi-supervised graph classification | PROTEINS (10-fold cross-validation) | Accuracy80.22 | 21 | |
| Graph Classification | PROTEINS 1.0 (test) | AUC0.89 | 17 | |
| Graph Classification | PROTEINS size shift (test) | MCC0.4 | 17 | |
| Federated Graph Classification | PROTEINS non-IID (test) | Average Gain5.12 | 16 | |
| Federated Graph Classification | PROTEINS (test) | Average Gain4.45 | 16 | |
| Graph Classification | PROTEINS TU (unsupervised) | Accuracy76.2 | 14 | |
| Graph-level classification | PROTEINS | MCC0.59 | 14 | |
| Graph Classification | Proteins | Certified Accuracy77.8 | 12 | |
| Watermark Verification | PROTEINS | Watermark Accuracy86 | 12 | |
| Anomaly Detection | PROTEINS | AUC (%)81.3 | 11 | |
| Graph Classification | PROTEINS 50-shot | AUROC66.78 | 11 | |
| Graph Classification | PROTEINS 10% label rate | Accuracy75.76 | 11 | |
| Classification | proteins | Accuracy79.1 | 10 | |
| Maximum Independent Set | PROTEINS (test) | AR*1 | 10 | |
| Subgraph alignment | Proteins 40% subgraph | Matching Accuracy38.94 | 10 | |
| Subgraph Alignment | Proteins-2 subgraph vs subgraph, 90% overlap | Accuracy69.38 | 10 | |
| Subgraph Alignment | Proteins subgraph and entire graph 1 | Accuracy0.533 | 10 | |
| Subgraph Alignment | Proteins 20% subgraph | Accuracy (20% Subgraph)23.51 | 10 |
Showing 25 of 48 rows