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Node Anomaly Detection research benchmarks – Page 2 · SOTA2 Research

Node Anomaly Detection

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Amazon Fully-Supervised

98.69AUROC

7

Feb 26, 2026

T-Social fully-supervised

98.7AUPRC

5

Feb 26, 2026

DGraph-Fin (Transductive)

76.26AUROC

5

Feb 26, 2026

DGraph-Fin (Inductive)

0.762AUROC

5

Feb 26, 2026

Elliptic (Transductive)

96.8AUROC

5

Feb 26, 2026

Elliptic Inductive

90.36AUROC (%)

5

Feb 26, 2026

0.853AUPRC

3

Feb 26, 2026

0.174AUPRC

3

Feb 26, 2026

50.8AUPRC

3

Feb 26, 2026

96.79AUPRC

3

Feb 26, 2026

T-Social semi-supervised

51.3AUPRC

3

Feb 26, 2026

DGraph (semi-supervised)

2.3AUPRC

3

Feb 26, 2026

Quest semi-supervised

10.1AUPRC

3

Feb 26, 2026

Tolo (semi-supervised)

35.8AUPRC

3

Feb 26, 2026

Ellip semi-supervised

80.8AUPRC

3

Feb 26, 2026

T-Fin (semi-supervised)

81.1AUPRC

3

Feb 26, 2026

Weibo (semi-supervised)

75.9AUPRC

3

Feb 26, 2026

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