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ResearchFormerly WizWand

Graph Anomaly Detection on T-Social (AUC, F1-Macro)

99.44AUCSignGAD
63.289672.674882.0691.4452May 26, 2026
Updated 5mo ago

Evaluation results

MethodLinks
SignGADTraining Ratio=10%2026.0599.4496.36
SignGADTraining Ratio=5%2026.0599.2695.83
SignGADTraining Ratio=3%2026.0598.9195.14
TAQ-GADTraining Ratio=10%2026.0598.7690.57
TAQ-GADTraining Ratio=5%2026.0598.4489.67
SignGADTraining Ratio=1%2026.0598.3793.72
SignGADtraining ratio=1%, LLM backbone=GPT-4.12026.0598.3793.72
TAQ-GADTraining Ratio=3%2026.0597.8788.23
SpaceGNNTraining Ratio=10%2026.0597.7484.26
SpaceGNNTraining Ratio=5%2026.0597.3783.09
ConsisGADTraining Ratio=10%2026.0597.2384.56
ConsisGADTraining Ratio=5%2026.0596.8683.27
SpaceGNNTraining Ratio=3%2026.0596.6381.16
TAQ-GADTraining Ratio=1%2026.0596.5885.46
TAQ-GADtraining ratio=1%2026.0596.5885.46
ConsisGADTraining Ratio=3%2026.0596.0781.53
SpaceGNNTraining Ratio=1%2026.0595.277.34
SpaceGNNtraining ratio=1%2026.0595.277.34
ConsisGADTraining Ratio=1%2026.0594.3178.08
ConsisGADtraining ratio=1%2026.0594.3178.08
DiG-In-GNNtraining ratio=1%2026.0593.7581.4
BWGNNtraining ratio=1%2026.0584.476.37
GHRNtraining ratio=1%2026.0584.271.25
GCNtraining ratio=1%2026.0583.365.16
GATv2training ratio=1%2026.0579.8962.99
GAGAtraining ratio=1%2026.0578.9265.58
GINtraining ratio=1%2026.0578.761.62
GATtraining ratio=1%2026.0573.4661.98
GraphSAGEtraining ratio=1%2026.0571.4556.47
GDNtraining ratio=1%2026.0567.6955.76
MLPtraining ratio=1%2026.0566.9554.09
PC-GNNtraining ratio=1%2026.0564.6849.66