Graph Anomaly Detection on Amazon (AUC, F1-Macro)
98.89AUCSignGAD
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| SignGADTraining Ratio=10%2026.05 | 98.89 | 93.51 | |
| SignGADTraining Ratio=5%2026.05 | 98.66 | 93.19 | |
| SignGADTraining Ratio=3%2026.05 | 98.23 | 92.54 | |
| TAQ-GADTraining Ratio=10%2026.05 | 97.82 | 92.59 | |
| TAQ-GADTraining Ratio=5%2026.05 | 97.43 | 92.14 | |
| SignGADTraining Ratio=1%2026.05 | 97.41 | 91.17 | |
| SignGADtraining ratio=1%, LLM backbone=GPT-4.12026.05 | 97.41 | 91.17 | |
| TAQ-GADTraining Ratio=3%2026.05 | 96.86 | 91.83 | |
| SpaceGNNTraining Ratio=10%2026.05 | 96.44 | 92.76 | |
| ConsisGADTraining Ratio=10%2026.05 | 96.17 | 92.11 | |
| SpaceGNNTraining Ratio=5%2026.05 | 96.08 | 92.41 | |
| ConsisGADTraining Ratio=5%2026.05 | 95.82 | 91.88 | |
| TAQ-GADTraining Ratio=1%2026.05 | 95.71 | 90.22 | |
| TAQ-GADtraining ratio=1%2026.05 | 95.71 | 90.22 | |
| SpaceGNNTraining Ratio=3%2026.05 | 95.29 | 91.57 | |
| ConsisGADTraining Ratio=3%2026.05 | 95.14 | 91.26 | |
| SpaceGNNTraining Ratio=1%2026.05 | 94.02 | 90.69 | |
| SpaceGNNtraining ratio=1%2026.05 | 94.02 | 90.69 | |
| ConsisGADTraining Ratio=1%2026.05 | 93.91 | 90.03 | |
| ConsisGADtraining ratio=1%2026.05 | 93.91 | 90.03 | |
| GDNtraining ratio=1%2026.05 | 92.43 | 89.75 | |
| MLPtraining ratio=1%2026.05 | 92.39 | 87.53 | |
| PC-GNNtraining ratio=1%2026.05 | 91.18 | 85.25 | |
| GraphSAGEtraining ratio=1%2026.05 | 90.12 | 84.25 | |
| CARE-GNNtraining ratio=1%2026.05 | 89.68 | 75.74 | |
| BWGNNtraining ratio=1%2026.05 | 88.56 | 90.48 | |
| GHRNtraining ratio=1%2026.05 | 88.35 | 86.35 | |
| GCNtraining ratio=1%2026.05 | 87.34 | 70.94 | |
| DiG-In-GNNtraining ratio=1%2026.05 | 86.3 | 82.61 | |
| GATv2training ratio=1%2026.05 | 85.39 | 76.2 | |
| GINtraining ratio=1%2026.05 | 84.35 | 71.2 | |
| H2-Fdetectortraining ratio=1%2026.05 | 83.81 | 72.46 | |
| GAGAtraining ratio=1%2026.05 | 82.61 | 76.85 | |
| GATtraining ratio=1%2026.05 | 80.74 | 63.45 | |
| GraphConsistraining ratio=1%2026.05 | 64.23 | 55.35 |