YelpChi
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Graph Anomaly Detection | YelpChi | AUROC83.4 | 49 | |
| Graph Anomaly Detection | YelpChi | AUC95.84 | 35 | |
| Fraud Detection | YelpChi (test) | AUC99.08 | 35 | |
| Anomaly Detection | YelpChi (test) | F1-macro61.1 | 22 | |
| Graph Fraud Detection | YelpChi | AUC92.08 | 14 | |
| Graph Anomaly Detection | YelpChi static graph (40% train) | F1-m76.89 | 12 | |
| Graph Anomaly Detection | YelpChi 40/20/40 split | Macro-F176.89 | 12 | |
| Static Graph Anomaly Detection | YelpChi | AUROC86.12 | 12 | |
| Node Classification | YelpChi | AUC91.34 | 12 | |
| Node Classification | YelpChi (test) | Accuracy91.33 | 12 | |
| Graph Anomaly Detection | YelpChi | AP7.76 | 11 | |
| Graph Anomaly Detection | YelpChi (test) | AP7.5 | 11 | |
| Graph Fraud Detection | YelpChi | AUC94.73 | 11 | |
| Anomaly Detection | YelpChi | AUROC0.6049 | 9 | |
| Anomaly Detection | YelpChi | AUPRC7.99 | 9 | |
| Graph Anomaly Detection | YelpChi | Time (s)1.52 | 7 | |
| Graph Anomaly Detection | YelpChi | Runtime (s)26 | 6 | |
| Graph Anomaly Detection | YelpChi-all large-scale (test) | AUROC0.5818 | 5 | |
| Node classification | YelpChi Non-Homophilous Graph Benchmarks (test) | ROC-AUC0.9318 | 5 | |
| Neural Architecture Search | YelpChi | Performance Score61.1 | 4 |
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