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ResearchFormerly WizWand

Graph Anomaly Detection on History

84.7Anomaly F1N2NSC
5.930426.380246.8367.2798Jun 29, 2026
Updated 4mo ago

Evaluation results

MethodLinks
N2NSCLLM Backbone=Qwen3-8B, PEFT=LoRA (rank 64), GNN Encoder=2-layer GAT, GNN heads=8, GNN output dimension=256, Contrastive selection K=22026.0684.71——
XGBGraphCategory=GNN-based methods2026.0660.885——
RFGraphCategory=GNN-based methods2026.0659.647.62——
GCNCategory=GNN-based methods2026.0654.587.25——
GINCategory=GNN-based methods2026.0651.937——
TAPECategory=Integrating LLMs with graphs2026.0649.685.25——
GATCategory=GNN-based methods2026.0646.639.62——
PC-GNNCategory=GNN-based methods2026.0645.887.25——
GraphSAGECategory=GNN-based methods2026.0643.465.5——
UNPromptCategory=Integrating LLMs with graphs2026.0626.7315.12——
GHRNCategory=GNN-based methods2026.0626.049.25——
CoLLCategory=Integrating LLMs with graphs2026.0625.714.62——
BWGNNCategory=GNN-based methods2026.0621.968——
PMPCategory=GNN-based methods2026.0621.0612.38——
GAAPCategory=GNN-based methods2026.0619.3112.25——
ConsisGADCategory=Integrating LLMs with graphs2026.0617.114.12——
InstructGLMCategory=Integrating LLMs with graphs2026.0612.9512——
GraphGPTCategory=Integrating LLMs with graphs2026.068.9617.75——
BWGNNCategory=GNN-based methods2026.06——75.1—
BWGNNMethodology=GNN-based2026.06———16.28
CoLLCategory=Integrating LLMs with graphs2026.06——76.95—
CoLLMethodology=LLM-integrated2026.06———17.56
ConsisGADCategory=Integrating LLMs with graphs2026.06——66.93—
ConsisGADMethodology=LLM-integrated2026.06———9.9
GAAPCategory=GNN-based methods2026.06——67.36—
GAAPMethodology=GNN-based2026.06———11.68
GATCategory=GNN-based methods2026.06——78.24—
GATMethodology=GNN-based2026.06———42.09
GCNCategory=GNN-based methods2026.06——78.2—
GCNMethodology=GNN-based2026.06———50.68
GHRNCategory=GNN-based methods2026.06——74.85—
GHRNMethodology=GNN-based2026.06———17.5
GINCategory=GNN-based methods2026.06——73.8—
GINMethodology=GNN-based2026.06———49.87
GraphGPTCategory=Integrating LLMs with graphs2026.06——56.11—
GraphGPTMethodology=LLM-integrated2026.06———4.75
GraphSAGECategory=GNN-based methods2026.06——81.09—
GraphSAGEMethodology=GNN-based2026.06———45.38
InstructGLMCategory=Integrating LLMs with graphs2026.06——59.04—
InstructGLMMethodology=LLM-integrated2026.06———7.51
N2NSCCategory=Ours2026.06——96.19—
N2NSCMethodology=Ours2026.06———86.25
PC-GNNCategory=GNN-based methods2026.06——84.04—
PC-GNNMethodology=GNN-based2026.06———42.58
PMPCategory=GNN-based methods2026.06——66.83—
PMPMethodology=GNN-based2026.06———11.8
RFGraphCategory=GNN-based methods2026.06——79.39—
RFGraphMethodology=GNN-based2026.06———53.34
TAPECategory=Integrating LLMs with graphs2026.06——87.38—
TAPEMethodology=LLM-integrated2026.06———40.2
UNPromptCategory=Integrating LLMs with graphs2026.06——74.09—
UNPromptMethodology=LLM-integrated2026.06———22.1
XGBGraphCategory=GNN-based methods2026.06——79.34—
XGBGraphMethodology=GNN-based2026.06———53.98