Graph Anomaly Detection on History
84.7Anomaly F1N2NSC
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| N2NSCLLM Backbone=Qwen3-8B, PEFT=LoRA (rank 64), GNN Encoder=2-layer GAT, GNN heads=8, GNN output dimension=256, Contrastive selection K=22026.06 | 84.7 | 1 | — | — | |
| XGBGraphCategory=GNN-based methods2026.06 | 60.88 | 5 | — | — | |
| RFGraphCategory=GNN-based methods2026.06 | 59.64 | 7.62 | — | — | |
| GCNCategory=GNN-based methods2026.06 | 54.58 | 7.25 | — | — | |
| GINCategory=GNN-based methods2026.06 | 51.93 | 7 | — | — | |
| TAPECategory=Integrating LLMs with graphs2026.06 | 49.68 | 5.25 | — | — | |
| GATCategory=GNN-based methods2026.06 | 46.63 | 9.62 | — | — | |
| PC-GNNCategory=GNN-based methods2026.06 | 45.88 | 7.25 | — | — | |
| GraphSAGECategory=GNN-based methods2026.06 | 43.46 | 5.5 | — | — | |
| UNPromptCategory=Integrating LLMs with graphs2026.06 | 26.73 | 15.12 | — | — | |
| GHRNCategory=GNN-based methods2026.06 | 26.04 | 9.25 | — | — | |
| CoLLCategory=Integrating LLMs with graphs2026.06 | 25.7 | 14.62 | — | — | |
| BWGNNCategory=GNN-based methods2026.06 | 21.96 | 8 | — | — | |
| PMPCategory=GNN-based methods2026.06 | 21.06 | 12.38 | — | — | |
| GAAPCategory=GNN-based methods2026.06 | 19.31 | 12.25 | — | — | |
| ConsisGADCategory=Integrating LLMs with graphs2026.06 | 17.1 | 14.12 | — | — | |
| InstructGLMCategory=Integrating LLMs with graphs2026.06 | 12.95 | 12 | — | — | |
| GraphGPTCategory=Integrating LLMs with graphs2026.06 | 8.96 | 17.75 | — | — | |
| 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 |