CS
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Node Classification | CS | Accuracy96 | 144 | |
| Node Classification | CS ρ ≈ 41.0 (random) | Balanced Accuracy88.94 | 54 | |
| Community Detection | CS | Average Communities834.4 | 54 | |
| Node Classification | CS | Overall F190.23 | 34 | |
| Node Classification | CS semi-supervised | Accuracy93.24 | 30 | |
| Node Classification | CS | AUROC99.62 | 25 | |
| Object Detection | CS-positive | mAP45.7 | 25 | |
| Chinese Spelling Check | CS | Sentence-level F191.78 | 21 | |
| Node unlearning | CS | Average Unlearning Runtime (s)0.02 | 20 | |
| Graph Anomaly Detection | CS (test) | AUPRC65.8 | 19 | |
| Node Classification | CS Standard (test) | Accuracy91.23 | 18 | |
| Node Classification | CS Homophilic (10 train val test splits) | Accuracy95.24 | 16 | |
| Link Prediction | CS | AUC98.81 | 16 | |
| Pairwise engagement prediction | CS 1.6 | Accuracy66.7 | 15 | |
| Pointwise Engagement Prediction | CS 1.6 | Accuracy79.7 | 15 | |
| Multi-hop Question Answering | CS | F1 Score74.83 | 14 | |
| Node Classification | CS | Energy0.026 | 13 | |
| Node Classification | CS (test) | AUC-ROC95.33 | 12 | |
| Node Classification Calibration | CS | Brier Score10.14 | 12 | |
| Node Classification Calibration | CS | KDE-ECE1.06 | 12 | |
| GNN calibration | CS | NLL (x10^-2)2,128 | 12 | |
| Node Classification | CS | ECE0.81 | 12 | |
| GNN Calibration | CS | ECE0.81 | 12 | |
| Clustering | CS | CA64.5 | 11 | |
| Clustering | CS | ARI0.0732 | 11 |
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