ACM
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Node Classification | ACM | Macro F194.73 | 104 | |
| Node Classification | ACM-5 | Macro F1 Score0.8792 | 80 | |
| Node Classification | ACM-3 | Macro F1 Score93.43 | 80 | |
| Node Clustering | ACM | ARI76.27 | 57 | |
| Node Classification | ACM (test) | Accuracy95.45 | 35 | |
| Graph Anomaly Detection | ACM (test) | AUROC86.29 | 32 | |
| Graph Anomaly Detection | ACM | AUROC0.9162 | 31 | |
| Node Classification | ACM HGB (test) | Macro F194.35 | 27 | |
| 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 | |
| Node Classification | ACM | Accuracy89.92 | 20 | |
| Graph Anomaly Detection | ACM | AUC89.4 | 19 | |
| Graph Explanation | ACM | Fidelity (-)97.6 | 18 | |
| Anomaly Detection | ACM | AUROC0.8629 | 14 | |
| Node Classification | ACM MinMax (20% test) | Accuracy89.8 | 13 | |
| Node Classification | ACM Metattack (20% test) | Accuracy89.78 | 13 | |
| Multi-view Classification | ACM (test) | Balanced Accuracy85.44 | 11 | |
| Node classification | ACM (train) | Micro-F10.94 | 11 | |
| Node classification | ACM (20% train) | Micro-F192.67 | 11 | |
| Graph Anomaly Detection | ACM | Training Time (s)1.89 | 9 | |
| Node Classification | ACM 20% (train val) | Accuracy67 | 8 | |
| Node Classification | ACM 5% (train val) | Accuracy53.4 | 8 | |
| Node Clustering | ACM (test) | NMI57.94 | 8 |
Showing 25 of 33 rows