Graph Anomaly Detection on Reddit (test)
4.44AUPRCGHRN
Evaluation results
| Method | Links | ||
|---|---|---|---|
| GHRNEvaluation Protocol=10-shot2026.01 | 4.44 | — | |
| OWLEYEEvaluation Protocol=zero-shot2026.01 | 4.25 | — | |
| TAMEvaluation Protocol=zero-shot2026.01 | 4.22 | — | |
| ARCEvaluation Protocol=zero-shot2026.01 | 4.2 | — | |
| SLGADEvaluation Protocol=zero-shot2026.01 | 4 | — | |
| UNPromptEvaluation Protocol=zero-shot2026.01 | 3.77 | — | |
| DOMINANTEvaluation Protocol=zero-shot2026.01 | 3.28 | — | |
| BWGNNEvaluation Protocol=10-shot2026.01 | 3.21 | — | |
| CAREEvaluation Protocol=zero-shot2026.01 | 3.17 | — | |
| CAGADMethod Category=GAD methods2026.03 | 0.1356 | — | |
| UNPromptMethod Category=GGAD methods2026.03 | 0.0515 | — | |
| AnomalyGFMMethod Category=GGAD methods2026.03 | 0.0503 | — | |
| ProMoSParadigm=Ours, Setting=Zero-shot2026.05 | 0.0485 | — | |
| ARCMethod Category=GGAD methods2026.03 | 0.0448 | — | |
| GCTAMMethod Category=GAD methods2026.03 | 0.0434 | — | |
| IA-GGAD2026.05 | 0.0431 | — | |
| UNPromptParadigm=Supervised - Pre-Train Only, Setting=Zero-shot2026.05 | 0.0412 | — | |
| TA-GGADMethod Category=GGAD methods2026.03 | 0.0405 | — | |
| TAM2026.05 | 0.0404 | — | |
| S-GADMethod Category=GAD methods2026.03 | 0.0401 | — | |
| AnomalyGFMParadigm=Supervised - Pre-Train Only, Setting=Zero-shot2026.05 | 0.0399 | — | |
| TAMMethod Category=GAD methods2026.03 | 0.0394 | — | |
| TAMParadigm=Unsupervised - Pre-Train Only, Setting=Zero-shot2026.05 | 0.0394 | — | |
| SpaceGNNMethod Category=GAD methods2026.03 | 0.0389 | — | |
| GCN2026.05 | 0.0386 | — | |
| UNPrompt2026.05 | 0.0376 | — | |
| GATMethod Category=GAD methods2026.03 | 0.0373 | — | |
| GATParadigm=Supervised - Pre-Train Only, Setting=Zero-shot2026.05 | 0.0373 | — | |
| CoLAMethod Category=GAD methods2026.03 | 0.0371 | — | |
| CoLAParadigm=Unsupervised - Pre-Train Only, Setting=Zero-shot2026.05 | 0.0371 | — | |
| BWGNNMethod Category=GAD methods2026.03 | 0.0369 | — | |
| BWGNNParadigm=Supervised - Pre-Train Only, Setting=Zero-shot2026.05 | 0.0369 | — | |
| AnomalyDAE2026.05 | 0.036 | — | |
| CONSISGADMethod Category=GAD methods2026.03 | 0.0357 | — | |
| NeighborDiv2026.05 | 0.0356 | — | |
| BGNNMethod Category=GAD methods2026.03 | 0.0352 | — | |
| BGNNParadigm=Supervised - Pre-Train Only, Setting=Zero-shot2026.05 | 0.0352 | — | |
| DOMINANTMethod Category=GAD methods2026.03 | 0.0349 | — | |
| DOMINANTParadigm=Unsupervised - Pre-Train Only, Setting=Zero-shot2026.05 | 0.0349 | — | |
| SmoothGNNMethod Category=GAD methods2026.03 | 0.0344 | — | |
| GAT2026.05 | 0.034 | — | |
| GCNMethod Category=GAD methods2026.03 | 0.0339 | — | |
| AnomalyGFM2026.05 | 0.0339 | — | |
| GCNParadigm=Supervised - Pre-Train Only, Setting=Zero-shot2026.05 | 0.0339 | — | |
| GHRN2026.05 | 0.0334 | — | |
| GADAM2026.05 | 0.0333 | — | |
| BWGNN2026.05 | 0.0329 | — | |
| GHRNMethod Category=GAD methods2026.03 | 0.0324 | — | |
| GHRNParadigm=Supervised - Pre-Train Only, Setting=Zero-shot2026.05 | 0.0324 | — | |
| HCM-AMethod Category=GAD methods2026.03 | 0.0318 | — | |
| HCM-AParadigm=Unsupervised - Pre-Train Only, Setting=Zero-shot2026.05 | 0.0318 | — | |
| AnomalyDAEEvaluation Protocol=SDIT, Method Category=Unsupervised GAD, Learning Setting=Learning-based2026.05 | — | 0.5206 | |
| AnomalyGFMEvaluation Protocol=SDIT, Method Category=Generalist GAD, Learning Setting=Learning-based2026.05 | — | 0.5391 | |
| ARCEvaluation Protocol=In-context Learning2024.05 | — | 0.6004 | |
| ARCEvaluation Protocol=Unsupervised & Finetune, Shot-count=10-shot2026.01 | — | 0.6006 | |
| ARCSupervision Type=Unsupervised, Evaluation Setting=zero-shot2026.01 | — | 0.5846 | |
| BGNNLearning Supervision=Supervised, Evaluation Protocol=Pre-Train Only2024.05 | — | 0.5027 | |
| BWGNNLearning Supervision=Supervised, Evaluation Protocol=Pre-Train Only2024.05 | — | 0.4897 | |
| BWGNNEvaluation Protocol=Supervised, Shot-count=10-shot2026.01 | — | 0.6368 | |
| BWGNNSupervision Type=Supervised, Evaluation Setting=10-shot2026.01 | — | 0.6368 | |
| BWGNNEvaluation Protocol=SDIT, Method Category=Supervised GAD, Learning Setting=Learning-based2026.05 | — | 0.4854 | |
| CAREEvaluation Protocol=Unsupervised & Finetune, Shot-count=10-shot2026.01 | — | 0.5532 | |
| CARESupervision Type=Unsupervised, Evaluation Setting=zero-shot2026.01 | — | 0.5251 | |
| COLALearning Supervision=Unsupervised, Evaluation Protocol=Pre-Train Only2024.05 | — | 0.5281 | |
| COLALearning Supervision=Unsupervised, Evaluation Protocol=Pre-Train & Fine-Tune2024.05 | — | 0.5812 | |
| DOMINANTLearning Supervision=Unsupervised, Evaluation Protocol=Pre-Train Only2024.05 | — | 0.5005 | |
| DOMINANTLearning Supervision=Unsupervised, Evaluation Protocol=Pre-Train & Fine-Tune2024.05 | — | 0.5214 | |
| DOMINANTEvaluation Protocol=Unsupervised & Finetune, Shot-count=10-shot2026.01 | — | 0.5348 | |
| DOMINANTSupervision Type=Unsupervised, Evaluation Setting=zero-shot2026.01 | — | 0.5349 | |
| GADAMEvaluation Protocol=SDIT, Method Category=Unsupervised GAD, Learning Setting=Learning-based2026.05 | — | 0.5066 | |
| GATLearning Supervision=Supervised, Evaluation Protocol=Pre-Train Only2024.05 | — | 0.5178 | |
| GATEvaluation Protocol=SDIT, Method Category=Supervised GAD, Learning Setting=Learning-based2026.05 | — | 0.5149 | |
| GCNLearning Supervision=Supervised, Evaluation Protocol=Pre-Train Only2024.05 | — | 0.5043 | |
| GCNEvaluation Protocol=SDIT, Method Category=Supervised GAD, Learning Setting=Learning-based2026.05 | — | 0.5698 | |
| GHRNLearning Supervision=Supervised, Evaluation Protocol=Pre-Train Only2024.05 | — | 0.4622 | |
| GHRNEvaluation Protocol=Supervised, Shot-count=10-shot2026.01 | — | 0.6976 | |
| GHRNSupervision Type=Supervised, Evaluation Setting=10-shot2026.01 | — | 0.6976 | |
| GHRNEvaluation Protocol=SDIT, Method Category=Supervised GAD, Learning Setting=Learning-based2026.05 | — | 0.4878 | |
| HCM-ALearning Supervision=Unsupervised, Evaluation Protocol=Pre-Train Only2024.05 | — | 0.4879 | |
| HCM-ALearning Supervision=Unsupervised, Evaluation Protocol=Pre-Train & Fine-Tune2024.05 | — | 0.4915 | |
| IA-GGADEvaluation Protocol=SDIT, Method Category=Generalist GAD, Learning Setting=Learning-based2026.05 | — | 0.5877 | |
| NeighborDivEvaluation Protocol=SDIT, Method Category=Generalist GAD, Learning Setting=Training-free / Zero-shot2026.05 | — | 0.5122 | |
| OWLEYEEvaluation Protocol=Unsupervised & Finetune, Shot-count=10-shot2026.01 | — | 0.5782 | |
| OWLEYESupervision Type=Unsupervised, Evaluation Setting=zero-shot2026.01 | — | 0.5803 | |
| SLGADEvaluation Protocol=Unsupervised & Finetune, Shot-count=10-shot2026.01 | — | 0.5317 | |
| SLGADSupervision Type=Unsupervised, Evaluation Setting=zero-shot2026.01 | — | 0.5028 | |
| TAMLearning Supervision=Unsupervised, Evaluation Protocol=Pre-Train Only2024.05 | — | 0.5543 | |
| TAMLearning Supervision=Unsupervised, Evaluation Protocol=Pre-Train & Fine-Tune2024.05 | — | 0.5662 | |
| TAMEvaluation Protocol=Unsupervised & Finetune, Shot-count=10-shot2026.01 | — | 0.5662 | |
| TAMSupervision Type=Unsupervised, Evaluation Setting=zero-shot2026.01 | — | 0.5237 | |
| TAMEvaluation Protocol=SDIT, Method Category=Unsupervised GAD, Learning Setting=Learning-based2026.05 | — | 0.5565 | |
| UNPromptEvaluation Protocol=Unsupervised & Finetune, Shot-count=10-shot2026.01 | — | 0.5569 | |
| UNPromptSupervision Type=Unsupervised, Evaluation Setting=zero-shot2026.01 | — | 0.5501 | |
| UNPromptEvaluation Protocol=SDIT, Method Category=Generalist GAD, Learning Setting=Learning-based2026.05 | — | 0.5463 |