Graph Anomaly Detection on CiteSeer (test)
46.96AUPRCIA-GGAD
Evaluation results
| Method | Links | ||
|---|---|---|---|
| IA-GGADMethod Category=Generalist, Zero-shot cross-domain setting=true, Training Source Graphs=PubMed, Flickr, Reddit, YelpChi2026.02 | 46.96 | — | |
| GAD-MoREMethod Category=Generalist, Zero-shot cross-domain setting=true, Training Source Graphs=PubMed, Flickr, Reddit, YelpChi2026.02 | 40.15 | — | |
| AnomalyDAEMethod Category=Unsupervised, Zero-shot cross-domain setting=true, Training Source Graphs=PubMed, Flickr, Reddit, YelpChi2026.02 | 31.37 | — | |
| UNPromptMethod Category=Generalist, Zero-shot cross-domain setting=true, Training Source Graphs=PubMed, Flickr, Reddit, YelpChi2026.02 | 9.47 | — | |
| GHRNMethod Category=Supervised, Zero-shot cross-domain setting=true, Training Source Graphs=PubMed, Flickr, Reddit, YelpChi2026.02 | 5.37 | — | |
| GCNMethod Category=Supervised, Zero-shot cross-domain setting=true, Training Source Graphs=PubMed, Flickr, Reddit, YelpChi2026.02 | 5.21 | — | |
| CoLAMethod Category=Unsupervised, Zero-shot cross-domain setting=true, Training Source Graphs=PubMed, Flickr, Reddit, YelpChi2026.02 | 4.76 | — | |
| GATMethod Category=Supervised, Zero-shot cross-domain setting=true, Training Source Graphs=PubMed, Flickr, Reddit, YelpChi2026.02 | 4.35 | — | |
| TAMMethod Category=Unsupervised, Zero-shot cross-domain setting=true, Training Source Graphs=PubMed, Flickr, Reddit, YelpChi2026.02 | 4.15 | — | |
| BWGNNMethod Category=Supervised, Zero-shot cross-domain setting=true, Training Source Graphs=PubMed, Flickr, Reddit, YelpChi2026.02 | 4.02 | — | |
| AnomalyGFMMethod Category=Generalist, Zero-shot cross-domain setting=true, Training Source Graphs=PubMed, Flickr, Reddit, YelpChi2026.02 | 3.69 | — | |
| TA-GGADMethod Category=GGAD methods2026.03 | 0.5826 | — | |
| ProMoSParadigm=Ours, Setting=Zero-shot2026.05 | 0.4691 | — | |
| ARCMethod Category=GGAD methods2026.03 | 0.4577 | — | |
| S-GADMethod Category=GAD methods2026.03 | 0.3434 | — | |
| DOMINANTMethod Category=GAD methods2026.03 | 0.1385 | — | |
| DOMINANTParadigm=Unsupervised - Pre-Train Only, Setting=Zero-shot2026.05 | 0.1385 | — | |
| TAMMethod Category=GAD methods2026.03 | 0.1155 | — | |
| TAMParadigm=Unsupervised - Pre-Train Only, Setting=Zero-shot2026.05 | 0.1155 | — | |
| GCTAMMethod Category=GAD methods2026.03 | 0.1029 | — | |
| CoLAMethod Category=GAD methods2026.03 | 0.0833 | — | |
| CoLAParadigm=Unsupervised - Pre-Train Only, Setting=Zero-shot2026.05 | 0.0833 | — | |
| GHRNMethod Category=GAD methods2026.03 | 0.0779 | — | |
| GHRNParadigm=Supervised - Pre-Train Only, Setting=Zero-shot2026.05 | 0.0779 | — | |
| CONSISGADMethod Category=GAD methods2026.03 | 0.0719 | — | |
| AnomalyGFMMethod Category=GGAD methods2026.03 | 0.0711 | — | |
| GCNMethod Category=GAD methods2026.03 | 0.064 | — | |
| GCNParadigm=Supervised - Pre-Train Only, Setting=Zero-shot2026.05 | 0.064 | — | |
| BWGNNMethod Category=GAD methods2026.03 | 0.0635 | — | |
| BWGNNParadigm=Supervised - Pre-Train Only, Setting=Zero-shot2026.05 | 0.0635 | — | |
| GATMethod Category=GAD methods2026.03 | 0.0558 | — | |
| GATParadigm=Supervised - Pre-Train Only, Setting=Zero-shot2026.05 | 0.0558 | — | |
| SmoothGNNMethod Category=GAD methods2026.03 | 0.053 | — | |
| UNPromptParadigm=Supervised - Pre-Train Only, Setting=Zero-shot2026.05 | 0.05 | — | |
| UNPromptMethod Category=GGAD methods2026.03 | 0.0447 | — | |
| HCM-AMethod Category=GAD methods2026.03 | 0.0418 | — | |
| HCM-AParadigm=Unsupervised - Pre-Train Only, Setting=Zero-shot2026.05 | 0.0418 | — | |
| AnomalyGFMParadigm=Supervised - Pre-Train Only, Setting=Zero-shot2026.05 | 0.0409 | — | |
| SpaceGNNMethod Category=GAD methods2026.03 | 0.0403 | — | |
| BGNNMethod Category=GAD methods2026.03 | 0.0391 | — | |
| BGNNParadigm=Supervised - Pre-Train Only, Setting=Zero-shot2026.05 | 0.0391 | — | |
| CAGADMethod Category=GAD methods2026.03 | 0.0385 | — | |
| ARCEvaluation Protocol=In-context Learning2024.05 | — | 0.9095 | |
| BGNNLearning Supervision=Supervised, Evaluation Protocol=Pre-Train Only2024.05 | — | 0.4232 | |
| BWGNNLearning Supervision=Supervised, Evaluation Protocol=Pre-Train Only2024.05 | — | 0.5261 | |
| BWGNNCategory=GNN-based methods2026.06 | — | 0.8463 | |
| COLALearning Supervision=Unsupervised, Evaluation Protocol=Pre-Train Only2024.05 | — | 0.6284 | |
| COLALearning Supervision=Unsupervised, Evaluation Protocol=Pre-Train & Fine-Tune2024.05 | — | 0.7075 | |
| CoLLCategory=Integrating LLMs with graphs2026.06 | — | 0.7144 | |
| ConsisGADCategory=Integrating LLMs with graphs2026.06 | — | 0.6332 | |
| DOMINANTLearning Supervision=Unsupervised, Evaluation Protocol=Pre-Train Only2024.05 | — | 0.6947 | |
| DOMINANTLearning Supervision=Unsupervised, Evaluation Protocol=Pre-Train & Fine-Tune2024.05 | — | 0.7469 | |
| GAAPCategory=GNN-based methods2026.06 | — | 0.6316 | |
| GATLearning Supervision=Supervised, Evaluation Protocol=Pre-Train Only2024.05 | — | 0.5159 | |
| GATCategory=GNN-based methods2026.06 | — | 0.783 | |
| GCNLearning Supervision=Supervised, Evaluation Protocol=Pre-Train Only2024.05 | — | 0.6027 | |
| GCNCategory=GNN-based methods2026.06 | — | 0.9004 | |
| GHRNLearning Supervision=Supervised, Evaluation Protocol=Pre-Train Only2024.05 | — | 0.5604 | |
| GHRNCategory=GNN-based methods2026.06 | — | 0.7453 | |
| GINCategory=GNN-based methods2026.06 | — | 0.8838 | |
| GraphGPTCategory=Integrating LLMs with graphs2026.06 | — | 0.6884 | |
| GraphSAGECategory=GNN-based methods2026.06 | — | 0.9021 | |
| HCM-ALearning Supervision=Unsupervised, Evaluation Protocol=Pre-Train Only2024.05 | — | 0.4812 | |
| HCM-ALearning Supervision=Unsupervised, Evaluation Protocol=Pre-Train & Fine-Tune2024.05 | — | 0.5554 | |
| InstructGLMCategory=Integrating LLMs with graphs2026.06 | — | 0.5077 | |
| N2NSCCategory=Ours2026.06 | — | 0.9208 | |
| PC-GNNCategory=GNN-based methods2026.06 | — | 0.8668 | |
| PMPCategory=GNN-based methods2026.06 | — | 0.6121 | |
| RFGraphCategory=GNN-based methods2026.06 | — | 0.882 | |
| TAMLearning Supervision=Unsupervised, Evaluation Protocol=Pre-Train Only2024.05 | — | 0.7227 | |
| TAMLearning Supervision=Unsupervised, Evaluation Protocol=Pre-Train & Fine-Tune2024.05 | — | 0.7654 | |
| TAPECategory=Integrating LLMs with graphs2026.06 | — | 0.9187 | |
| UNPromptCategory=Integrating LLMs with graphs2026.06 | — | 0.739 | |
| XGBGraphCategory=GNN-based methods2026.06 | — | 0.8872 |