ACM
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Node Classification | ACM | Macro F194.73 | 152 | |
| Node Classification | ACM-5 | Macro F1 Score0.8792 | 92 | |
| Graph Explanation | ACM | Fidelity (-)97.6 | 82 | |
| Node Classification | ACM-3 | Macro F1 Score93.43 | 80 | |
| Node Classification | ACM (test) | Accuracy96.72 | 68 | |
| Node Classification | ACM | Accuracy96.23 | 63 | |
| Node Clustering | ACM | ARI76.27 | 57 | |
| Graph Anomaly Detection | ACM | AUPRC0.6215 | 54 | |
| Graph Anomaly Detection | ACM | AUROC95.54 | 38 | |
| Graph Anomaly Detection | ACM (test) | AUROC86.29 | 32 | |
| Node Classification | ACM HGB (test) | Macro F194.35 | 27 | |
| Attributed Graph Clustering | ACM | Accuracy90.53 | 26 | |
| Anomaly Detection | ACM | AUROC0.8947 | 26 | |
| Model Stealing | ACM G (test) | Accuracy88.53 | 24 | |
| Node Explanation | ACM | Average Runtime (s)0.37 | 24 | |
| Object classification | ACM | Micro F1 Score80.94 | 24 | |
| Anomaly detection | ACM | AUPRC58.04 | 23 | |
| Node classification | ACM PLP | Acc87.19 | 20 | |
| Node classification | ACM PAP | Accuracy81.7 | 20 | |
| Anomaly Detection | ACM zero-shot (test) | AUROC89.04 | 19 | |
| Graph Anomaly Detection | ACM | AUC89.4 | 19 | |
| Node classification | ACM (20% train) | Micro-F192.67 | 19 | |
| Model Stealing | ACM | Surrogate Accuracy88.53 | 16 | |
| Clustering | ACM (test) | Accuracy (ACC)92.73 | 15 | |
| Node Classification | ACM MinMax (20% test) | Accuracy89.8 | 13 |
Showing 25 of 55 rows