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Graph Classification research benchmarks – Page 18 · SOTA2 Research

Graph Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

100Accuracy

11

May 15, 2026

74.61ROC-AUC

11

Apr 20, 2026

83.4ROC-AUC

11

Apr 20, 2026

73.1Accuracy

11

Apr 1, 2026

IMDB M TU (unsupervised)

51.5Accuracy

11

Feb 26, 2026

NCI109 TU (unsupervised)

79.7Accuracy

11

Feb 26, 2026

81.86Accuracy

11

Feb 26, 2026

ENZYMES 50-shot

24.5Accuracy

11

Feb 26, 2026

0.732AUROC

11

Feb 26, 2026

PROTEINS 50-shot

66.78AUROC

11

Feb 26, 2026

66.49AUROC

11

Feb 26, 2026

69.18AUROC

11

Feb 26, 2026

66.87AUROC

11

Feb 26, 2026

RDT-M5K 10% label rate

55.26Accuracy

11

Feb 26, 2026

RDT-B 10% label rate

91.86Accuracy

11

Feb 26, 2026

COLLAB 10% label rate

76.55Accuracy

11

Feb 26, 2026

DD 10% label rate

79.21Accuracy

11

Feb 26, 2026

PROTEINS 10% label rate

75.76Accuracy

11

Feb 26, 2026

NCI1 10% label rate

75.67Accuracy

11

Feb 26, 2026

COLLAB 1% label rate

65.86Accuracy

11

Feb 26, 2026

NCI1 (1% label rate)

65.12Accuracy

11

Feb 26, 2026

42.8Accuracy

11

Feb 26, 2026

SpuriousMotif (test)

0.821Performance (b=0.5)

11

Mar 16, 2026

72.1Mean Accuracy

11

May 6, 2026

SPMotif Mixed (Bias=0.60)

88.73Accuracy

11

Feb 26, 2026

Page 18 of 30

Popular datasets

DD IMDB PROTEINS FRANKENSTEIN NCI1

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