Graph Anomaly Detection on T-Social (AUC, F1-Macro)
99.44AUCSignGAD
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| SignGADTraining Ratio=10%2026.05 | 99.44 | 96.36 | |
| SignGADTraining Ratio=5%2026.05 | 99.26 | 95.83 | |
| SignGADTraining Ratio=3%2026.05 | 98.91 | 95.14 | |
| TAQ-GADTraining Ratio=10%2026.05 | 98.76 | 90.57 | |
| TAQ-GADTraining Ratio=5%2026.05 | 98.44 | 89.67 | |
| SignGADTraining Ratio=1%2026.05 | 98.37 | 93.72 | |
| SignGADtraining ratio=1%, LLM backbone=GPT-4.12026.05 | 98.37 | 93.72 | |
| TAQ-GADTraining Ratio=3%2026.05 | 97.87 | 88.23 | |
| SpaceGNNTraining Ratio=10%2026.05 | 97.74 | 84.26 | |
| SpaceGNNTraining Ratio=5%2026.05 | 97.37 | 83.09 | |
| ConsisGADTraining Ratio=10%2026.05 | 97.23 | 84.56 | |
| ConsisGADTraining Ratio=5%2026.05 | 96.86 | 83.27 | |
| SpaceGNNTraining Ratio=3%2026.05 | 96.63 | 81.16 | |
| TAQ-GADTraining Ratio=1%2026.05 | 96.58 | 85.46 | |
| TAQ-GADtraining ratio=1%2026.05 | 96.58 | 85.46 | |
| ConsisGADTraining Ratio=3%2026.05 | 96.07 | 81.53 | |
| SpaceGNNTraining Ratio=1%2026.05 | 95.2 | 77.34 | |
| SpaceGNNtraining ratio=1%2026.05 | 95.2 | 77.34 | |
| ConsisGADTraining Ratio=1%2026.05 | 94.31 | 78.08 | |
| ConsisGADtraining ratio=1%2026.05 | 94.31 | 78.08 | |
| DiG-In-GNNtraining ratio=1%2026.05 | 93.75 | 81.4 | |
| BWGNNtraining ratio=1%2026.05 | 84.4 | 76.37 | |
| GHRNtraining ratio=1%2026.05 | 84.2 | 71.25 | |
| GCNtraining ratio=1%2026.05 | 83.3 | 65.16 | |
| GATv2training ratio=1%2026.05 | 79.89 | 62.99 | |
| GAGAtraining ratio=1%2026.05 | 78.92 | 65.58 | |
| GINtraining ratio=1%2026.05 | 78.7 | 61.62 | |
| GATtraining ratio=1%2026.05 | 73.46 | 61.98 | |
| GraphSAGEtraining ratio=1%2026.05 | 71.45 | 56.47 | |
| GDNtraining ratio=1%2026.05 | 67.69 | 55.76 | |
| MLPtraining ratio=1%2026.05 | 66.95 | 54.09 | |
| PC-GNNtraining ratio=1%2026.05 | 64.68 | 49.66 |