Computers
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Node Classification | Computers | Mean Accuracy93.78 | 169 | |
| Node classification | Computers (test) | Mean Accuracy92.97 | 147 | |
| Node Classification | Computers | Accuracy88.48 | 145 | |
| Node Classification | Computers | Accuracy93 | 85 | |
| Node Classification | Computers | Accuracy (%)93.68 | 74 | |
| Node Classification | Computers-Random (ρ ≈ 17.7) | Balanced Accuracy85.32 | 54 | |
| Link Prediction | Computers | AUC-ROC99.4 | 50 | |
| Node Classification | Computers Random (test) | Balanced Accuracy (bAcc)85.32 | 39 | |
| Node Classification | Computers | AUC99.09 | 38 | |
| Node Classification | Computers 10-way E-commerce (test) | Accuracy53.71 | 33 | |
| Node Classification | Computers Random rho=25.50 (test) | Balanced Accuracy85 | 33 | |
| Semi-supervised node classification | Computers (test) | Accuracy90.1 | 31 | |
| Surrogate detection under model extraction attack | Computers | AUC100 | 20 | |
| Node Classification | Computers 1-shot | Accuracy52.3 | 19 | |
| Graph Anomaly Detection | Computers | AUPRC89.41 | 18 | |
| Graph Anomaly Detection | Computers | AUROC97.93 | 18 | |
| Graph Anomaly Detection | Computers | Anomaly F1 Score85.78 | 18 | |
| Graph Classification | Computers | Micro-F170.98 | 18 | |
| Link Prediction | Computers (test) | AP97.74 | 18 | |
| Node Classification | Computers 10-shot | Accuracy81.32 | 16 | |
| Hyperedge Prediction | Computers | Accuracy73.91 | 15 | |
| Node Classification | Computers (random 10/10/80) | Micro-F189.1 | 15 | |
| Graph Classification | Computers | Accuracy52.23 | 13 | |
| Node Classification | Computers standard (test) | Acc85.87 | 13 | |
| Node Classification | Computers | Energy Consumption0.047 | 13 |
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