Graph Anomaly Detection on Amazon
96.9AUROCSAWGAD
Evaluation results
| Method | Links | ||
|---|---|---|---|
| SAWGAD2026.05 | 96.9 | 94.1 | |
| GraphNClabeled normal nodes=15%, runs=52025.10 | 96.13 | 84.03 | |
| ConsisGAD2026.05 | 95.2 | 91.7 | |
| XGBGraph2026.03 | 94.7 | — | |
| SAGAD2026.03 | 94.5 | — | |
| GGADSetting=Semi-supervised, Training normal nodes=15%2024.02 | 94.43 | 79.22 | |
| GGADlabeled normal nodes=15%, runs=52025.10 | 94.43 | 79.22 | |
| GATSep2026.05 | 93.7 | 89.5 | |
| PCGNN2026.03 | 93.2 | — | |
| RHOlabeled normal nodes=15%, runs=52025.10 | 93.02 | 78.79 | |
| AMNet2026.03 | 92.8 | — | |
| GAT2026.03 | 92.4 | — | |
| ConsisGAD2026.03 | 92.3 | — | |
| BernNet2026.03 | 92.1 | — | |
| BWGNN2026.03 | 91.8 | — | |
| GAT2026.05 | 91.8 | 85.7 | |
| AnomalyDAESetting=Semi-supervised, Training normal nodes=15%2024.02 | 91.71 | 77.48 | |
| AnomalyDAElabeled normal nodes=15%, runs=52025.10 | 91.71 | 77.48 | |
| GIN2026.03 | 91.6 | — | |
| GAS2026.03 | 91.6 | — | |
| H2GCN2026.03 | 91.4 | — | |
| SpaceGNN2026.03 | 91.1 | — | |
| GIN2026.05 | 91 | 85.6 | |
| GHRN2026.03 | 90.9 | — | |
| CGNN2026.05 | 90.9 | 80.4 | |
| AdaGNN2026.03 | 90.8 | — | |
| PCGNN2026.05 | 90.7 | 78.5 | |
| FAGCN2026.03 | 90.4 | — | |
| MLP2026.05 | 90.3 | 81.8 | |
| CAREGNN2026.05 | 89.9 | 81.3 | |
| DCI2026.03 | 89.4 | — | |
| GraphSAGE2026.05 | 89.4 | 79.8 | |
| DOMINANTSetting=Semi-supervised, Training normal nodes=15%2024.02 | 88.67 | 72.89 | |
| DOMINANTlabeled normal nodes=15%, runs=52025.10 | 88.67 | 72.89 | |
| BWGNN2026.05 | 88.5 | 84.5 | |
| GHRN2026.05 | 88.5 | 84.2 | |
| OCGNNSetting=Semi-supervised, Training normal nodes=15%2024.02 | 88.1 | 75.38 | |
| OCGNNlabeled normal nodes=15%, runs=52025.10 | 88.1 | 68.95 | |
| H2FD2026.05 | 87 | 73.6 | |
| TAMSetting=Semi-supervised, Training normal nodes=15%2024.02 | 84.05 | 51.83 | |
| TAMlabeled normal nodes=15%, runs=52025.10 | 84.05 | 51.83 | |
| TAMSetting=Unsupervised2024.02 | 83.03 | 40.24 | |
| IA-GGADTraining setup=Models Trained on Group 22026.05 | 82.49 | — | |
| IA-GGADTraining Protocol=Training on Group 22026.05 | 82.49 | — | |
| GCN2026.05 | 82.2 | 58.2 | |
| GCN2026.03 | 82 | — | |
| ACM2026.03 | 81.8 | — | |
| SAGE2026.03 | 81.4 | — | |
| ARCTraining setup=Models Trained on Group 22026.05 | 79.08 | — | |
| ARCTraining Protocol=Training on Group 22026.05 | 79.08 | — | |
| AnomalyDAESetting=Unsupervised2024.02 | 77.83 | 14.29 | |
| GAD-MoRELearning Paradigm=Generalist, Evaluation Setting=Zero-shot cross-domain2026.02 | 76.9 | — | |
| GAD-MoREShot count=0-shot2026.02 | 76.9 | — | |
| GAANSetting=Semi-supervised, Training normal nodes=15%2024.02 | 75.93 | 8.56 | |
| AEGISlabeled normal nodes=15%, runs=52025.10 | 75.93 | 26.16 | |
| UNPromptLearning Paradigm=Generalist, Evaluation Setting=Zero-shot cross-domain2026.02 | 72.14 | — | |
| OCGNNSetting=Unsupervised2024.02 | 71.65 | 13.52 | |
| REFI-GADTraining setup=Models Trained on Group 2, k=502026.05 | 71.21 | — | |
| REFI-GADTraining Protocol=Training on Group 22026.05 | 71.21 | — | |
| TAM2023.05 | 70.64 | 26.34 | |
| DOMINANTSetting=Unsupervised2024.02 | 70.25 | 13.15 | |
| ANOMIX2024.10 | 66.86 | — | |
| AnomalyGFMShot count=10-shot2026.02 | 66.03 | — | |
| GAANlabeled normal nodes=15%, runs=52025.10 | 65.31 | 8.56 | |
| GAANSetting=Unsupervised2024.02 | 65.13 | 8.52 | |
| UNPromptTraining setup=Models Trained on Group 22026.05 | 65.08 | — | |
| UNPromptTraining Protocol=Training on Group 22026.05 | 65.08 | — | |
| CoLATraining setup=Models Trained on Group 22026.05 | 65.02 | — | |
| CoLATraining Protocol=Training on Group 22026.05 | 65.02 | — | |
| GADNRlabeled normal nodes=15%, runs=52025.10 | 64.36 | 8.66 | |
| GHRNLearning Paradigm=Supervised, Evaluation Setting=Zero-shot cross-domain2026.02 | 63.52 | — | |
| LHML2024.10 | 61.37 | — | |
| AnomalyGFMLearning Paradigm=Generalist, Evaluation Setting=Zero-shot cross-domain2026.02 | 61.24 | — | |
| AEGISSetting=Unsupervised2024.02 | 60.59 | 12 | |
| AlignGADType=Generalist GAD2026.06 | 60.2 | 2.8 | |
| TAMType=Unsupervised2026.06 | 60.1 | 6.2 | |
| DOMINANT2023.05 | 59.96 | 14.24 | |
| DOMINANT2024.10 | 59.38 | — | |
| SL-GAD2023.05 | 59.37 | 6.34 | |
| CoLA2023.05 | 58.98 | 6.77 | |
| ComGA2023.05 | 58.95 | 11.53 | |
| GCNTraining setup=Models Trained on Group 22026.05 | 58.69 | — | |
| GCNTraining Protocol=Training on Group 22026.05 | 58.69 | — | |
| ANEMONE2024.10 | 58.59 | — | |
| CoLA2024.10 | 58.42 | — | |
| AnomalyDAELearning Paradigm=Unsupervised, Evaluation Setting=Zero-shot cross-domain2026.02 | 58.38 | — | |
| ComGA2024.10 | 57.98 | — | |
| ARCShot count=10-shot2026.02 | 57.95 | — | |
| AEGISSetting=Semi-supervised, Training normal nodes=15%2024.02 | 57.42 | 26.16 | |
| GADAMType=Unsupervised2026.06 | 56.4 | 7.4 | |
| iForest2023.05 | 56.21 | 13.71 | |
| GATLearning Paradigm=Supervised, Evaluation Setting=Zero-shot cross-domain2026.02 | 55.35 | — | |
| GATTraining setup=Models Trained on Group 22026.05 | 54.84 | — | |
| GATTraining Protocol=Training on Group 22026.05 | 54.84 | — | |
| IA-GGADLearning Paradigm=Generalist, Evaluation Setting=Zero-shot cross-domain2026.02 | 53.38 | — | |
| CHRNTraining setup=Models Trained on Group 22026.05 | 52.93 | — | |
| CHRNTraining Protocol=Training on Group 22026.05 | 52.93 | — | |
| MetaGAD2024.10 | 52.47 | — | |
| TAMLearning Paradigm=Unsupervised, Evaluation Setting=Zero-shot cross-domain2026.02 | 52.37 | — | |
| BGNNTraining setup=Models Trained on Group 22026.05 | 52.17 | — |