Computers
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Node Classification | Computers | Mean Accuracy93.78 | 169 | |
| Node classification | Computers (test) | Mean Accuracy92.97 | 91 | |
| Node Classification | Computers | Accuracy93 | 85 | |
| Node Classification | Computers-Random (ρ ≈ 17.7) | Balanced Accuracy85.32 | 54 | |
| Node Classification | Computers | Accuracy (%)92.49 | 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 | |
| Node Classification | Computers | Accuracy74.15 | 26 | |
| Link Prediction | Computers | AUC-ROC98.2 | 19 | |
| Link Prediction | Computers (test) | AP97.74 | 18 | |
| Node Classification | Computers 10-shot | Accuracy81.32 | 16 | |
| Node Classification | Computers (random 10/10/80) | Micro-F189.1 | 15 | |
| Node Classification | Computers standard (test) | Acc85.87 | 13 | |
| Node Classification | Computers | Energy Consumption0.047 | 13 | |
| Node Classification | Computers homogeneous (test) | Macro F186.6 | 12 | |
| Node Clustering | Computers | Conductance10.13 | 12 | |
| Node Classification Calibration | Computers | Brier Score16.61 | 12 | |
| GNN calibration | Computers | NLL0.3654 | 12 | |
| GNN Calibration | Computers | ECE0.0132 | 12 | |
| Graph Coarsening | Computers | Running Time (s)0.15 | 11 | |
| Feature Unlearning | Computers hard task | ToU (Trade-off of Unlearning)73.11 | 11 | |
| Node Classification | Computers 1-shot (test) | Accuracy54.89 | 11 | |
| Link Prediction | Computers | Hits@5043.47 | 11 |
Showing 25 of 50 rows