Graph Anomaly Detection on YelpChi (AUC, F1-Macro)
95.84AUCSignGAD
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| SignGADTraining Ratio=10%2026.05 | 95.84 | 86.52 | |
| SignGADTraining Ratio=5%2026.05 | 95.27 | 85.86 | |
| SignGADTraining Ratio=3%2026.05 | 94.13 | 84.31 | |
| SignGADTraining Ratio=1%2026.05 | 92.68 | 81.55 | |
| SignGADtraining ratio=1%, LLM backbone=GPT-4.12026.05 | 92.68 | 81.55 | |
| TAQ-GADTraining Ratio=10%2026.05 | 91.83 | 81.16 | |
| TAQ-GADTraining Ratio=5%2026.05 | 91.06 | 80.24 | |
| TAQ-GADTraining Ratio=3%2026.05 | 89.57 | 78.63 | |
| ConsisGADTraining Ratio=10%2026.05 | 89.26 | 76.32 | |
| SpaceGNNTraining Ratio=10%2026.05 | 88.64 | 77.57 | |
| ConsisGADTraining Ratio=5%2026.05 | 88.13 | 75.14 | |
| SpaceGNNTraining Ratio=5%2026.05 | 87.56 | 76.21 | |
| TAQ-GADTraining Ratio=1%2026.05 | 86.95 | 75.49 | |
| TAQ-GADtraining ratio=1%2026.05 | 86.95 | 75.49 | |
| ConsisGADTraining Ratio=3%2026.05 | 86.51 | 73.27 | |
| SpaceGNNTraining Ratio=3%2026.05 | 85.83 | 74.08 | |
| ConsisGADTraining Ratio=1%2026.05 | 83.36 | 69.72 | |
| ConsisGADtraining ratio=1%2026.05 | 83.36 | 69.72 | |
| SpaceGNNTraining Ratio=1%2026.05 | 82.47 | 70.21 | |
| SpaceGNNtraining ratio=1%2026.05 | 82.47 | 70.21 | |
| GraphConsistraining ratio=1%2026.05 | 80.13 | 64.96 | |
| BWGNNtraining ratio=1%2026.05 | 77.62 | 66.54 | |
| GDNtraining ratio=1%2026.05 | 75.92 | 64.81 | |
| GHRNtraining ratio=1%2026.05 | 75.33 | 63.62 | |
| PC-GNNtraining ratio=1%2026.05 | 75.17 | 64.23 | |
| DiG-In-GNNtraining ratio=1%2026.05 | 74.4 | 63.36 | |
| GraphSAGEtraining ratio=1%2026.05 | 73.7 | 63.33 | |
| GATv2training ratio=1%2026.05 | 72.83 | 62.23 | |
| H2-Fdetectortraining ratio=1%2026.05 | 72.38 | 63.97 | |
| MLPtraining ratio=1%2026.05 | 72.18 | 61.61 | |
| CARE-GNNtraining ratio=1%2026.05 | 72.11 | 61.62 | |
| GAGAtraining ratio=1%2026.05 | 71.61 | 61.81 | |
| GATtraining ratio=1%2026.05 | 70.14 | 61.22 | |
| GINtraining ratio=1%2026.05 | 56.98 | 53.58 | |
| GCNtraining ratio=1%2026.05 | 54.65 | 35.59 |