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Graph Anomaly Detection on Photo

95.49AUROCN2NSC
24.5142.937561.36579.7925Feb 19, 2024Jul 11, 2024Dec 2, 2024Apr 24, 2025Sep 15, 2025Feb 5, 2026Jun 29, 2026

Evaluation results

MethodLinks
N2NSCCategory=Ours2026.0695.49—
TAPECategory=Integrating LLMs with graphs2026.0688.84—
GraphSAGECategory=GNN-based methods2026.0680.29—
PC-GNNCategory=GNN-based methods2026.0679.8—
GATCategory=GNN-based methods2026.0679.07—
XGBGraphCategory=GNN-based methods2026.0678.66—
GCNCategory=GNN-based methods2026.0678.48—
GraphNClabeled normal nodes=15%, runs=52025.1076.9335.61
RFGraphCategory=GNN-based methods2026.0676.9—
REFI-GADTraining setup=Models Trained on Group 2, k=502026.0575.95—
REFI-GADTraining Protocol=Training on Group 22026.0575.95—
ARCTraining setup=Models Trained on Group 22026.0575.87—
ARCTraining Protocol=Training on Group 22026.0575.87—
ARCTraining/Inference Setting=Supervised - Pre-Train & Few-Shot Inference, Few-Shot=10-shot2026.0575.55—
GINCategory=GNN-based methods2026.0674.17—
BWGNNCategory=GNN-based methods2026.0673.74—
GHRNCategory=GNN-based methods2026.0673.39—
CoLLCategory=Integrating LLMs with graphs2026.0672.88—
ProMoSTraining/Inference Setting=Unsupervised - Pre-Train Only2026.0572.67—
RHOlabeled normal nodes=15%, runs=52025.1071.2923.37
IA-GGADTraining setup=Models Trained on Group 22026.0569.45—
IA-GGADTraining Protocol=Training on Group 22026.0569.45—
UNPromptTraining setup=Models Trained on Group 22026.0568.68—
UNPromptTraining Protocol=Training on Group 22026.0568.68—
AlignGADType=Generalist GAD2026.0667.919.2
ConsisGADCategory=Integrating LLMs with graphs2026.0667.24—
PMPCategory=GNN-based methods2026.0666.63—
GAAPCategory=GNN-based methods2026.0665.66—
CoLATraining setup=Models Trained on Group 22026.0565.18—
CoLATraining Protocol=Training on Group 22026.0565.18—
GGADSetting=Semi-supervised, Training normal nodes=15%2024.0264.7614.42
GGADlabeled normal nodes=15%, runs=52025.1064.7614.42
OCGNNlabeled normal nodes=15%, runs=52025.1064.6115.01
InstructGLMCategory=Integrating LLMs with graphs2026.0662.63—
GADNRlabeled normal nodes=15%, runs=52025.1061.5814.3
AnomalyGFMTraining/Inference Setting=Supervised - Pre-Train & Few-Shot Inference, Few-Shot=10-shot2026.0561.19—
BWGNNTraining setup=Models Trained on Group 22026.0560.82—
BWGNNTraining Protocol=Training on Group 22026.0560.82—
TAMSetting=Semi-supervised, Training normal nodes=15%2024.0260.1310.87
TAMlabeled normal nodes=15%, runs=52025.1060.1310.87
UNPromptCategory=Integrating LLMs with graphs2026.0659.62—
AEGISlabeled normal nodes=15%, runs=52025.1059.3611.1
GGADTraining setup=Models Trained on Group 22026.0558.72—
GGADTraining Protocol=Training on Group 22026.0558.72—
GHRNType=Supervised2026.0658.56.3
TAMSetting=Unsupervised2024.0256.7510.13
AEGISSetting=Unsupervised2024.0255.169.72
GraphGPTCategory=Integrating LLMs with graphs2026.0654.54—
GAANSetting=Semi-supervised, Training normal nodes=15%2024.0253.497.68
GCNType=Supervised2026.0653.36.3
DOMINANTSetting=Semi-supervised, Training normal nodes=15%2024.0253.1412.83
DOMINANTlabeled normal nodes=15%, runs=52025.1053.1412.83
OCGNNSetting=Unsupervised2024.0253.079.65
AnomalyDAEType=Unsupervised2026.06537.7
OCGNNSetting=Semi-supervised, Training normal nodes=15%2024.0252.7215.01
AnomalyDAElabeled normal nodes=15%, runs=52025.1052.7211.77
AHFANTraining setup=Models Trained on Group 22026.0552.16—
AHFANTraining Protocol=Training on Group 22026.0552.16—
CHRNTraining setup=Models Trained on Group 22026.0551.99—
CHRNTraining Protocol=Training on Group 22026.0551.99—
DOMINANTSetting=Unsupervised2024.0251.3610.39
AnomalyDAESetting=Unsupervised2024.0250.699.87
GGADType=Unsupervised2026.0649.87.9
TAMType=Unsupervised2026.0649.55.4
ANEMONETraining setup=Models Trained on Group 22026.0549.22—
ANEMONETraining Protocol=Training on Group 22026.0549.22—
NRGLType=Supervised2026.0649.15.7
GATType=Supervised2026.0648.85.3
UNPromptType=Generalist GAD2026.0648.75.7
GCNTraining setup=Models Trained on Group 22026.0547.7—
GCNTraining Protocol=Training on Group 22026.0547.7—
BGNNTraining setup=Models Trained on Group 22026.0547.26—
BGNNTraining Protocol=Training on Group 22026.0547.26—
ARCType=Generalist GAD2026.0646.35.5
GATTraining setup=Models Trained on Group 22026.0545.63—
GATTraining Protocol=Training on Group 22026.0545.63—
AnomalyGFMTraining setup=Models Trained on Group 22026.0544.86—
AnomalyGFMTraining Protocol=Training on Group 22026.0544.86—
SmoothGNNTraining setup=Models Trained on Group 22026.0544.8—
SmoothGNNTraining Protocol=Training on Group 22026.0544.8—
AEGISSetting=Semi-supervised, Training normal nodes=15%2024.0244.511.1
GADAMType=Unsupervised2026.0644.28.1
GAANlabeled normal nodes=15%, runs=52025.1043.557.68
GAANSetting=Unsupervised2024.0242.967.67
ADA-GADlabeled normal nodes=15%, runs=52025.1040.677.23
DOMINANTType=Unsupervised2026.06393.6
AnomalyDAESetting=Semi-supervised, Training normal nodes=15%2024.0227.2411.77
AHFANTraining Setup=Training on Group 22026.05—50.29
ANEMONETraining Setup=Training on Group 22026.05—6.76
AnomalyGFMTraining Setup=Training on Group 22026.05—5.32
ARCTraining Setup=Training on Group 22026.05—30.25
BGNNTraining Setup=Training on Group 22026.05—5.16
BWGNNTraining Setup=Training on Group 22026.05—7.97
BWGNNMethodology=GNN-based2026.06—15.93
CHRNTraining Setup=Training on Group 22026.05—6.02
CoLATraining Setup=Training on Group 22026.05—10.98
CoLLMethodology=LLM-integrated2026.06—10.59
ConsisGADMethodology=LLM-integrated2026.06—14.31
GAAPMethodology=GNN-based2026.06—11.16
GATTraining Setup=Training on Group 22026.05—4.92