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Graph Classification research benchmarks – Page 20 · SOTA2 Research

Graph Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

obgn-Tech (test)

84.8Accuracy

10

Mar 11, 2026

0.807Accuracy

10

Feb 26, 2026

0.981Accuracy

10

Feb 26, 2026

80.39Accuracy

10

Feb 26, 2026

73.54Accuracy

10

Feb 26, 2026

78.3Accuracy

10

Feb 26, 2026

70.3Accuracy

10

Feb 26, 2026

Molhiv correlation shift (test)

68.11Accuracy

10

Feb 26, 2026

CMNIST correlation shift (test)

49.73Accuracy

10

Feb 26, 2026

MNIST standard (test)

98.245Accuracy

10

Feb 26, 2026

ogbg-molhiv v1.0 (test)

0.809AUROC

10

Feb 26, 2026

Peptides-func (train)

0.913AP

10

Feb 26, 2026

SPMotif Combined

67.92Accuracy

10

Feb 26, 2026

SPMotif-Mixed Bias=0.90

54.25Accuracy

10

Feb 26, 2026

SPMotif-Mixed Bias=0.33

74.35Accuracy

10

Feb 26, 2026

SPMotif-Struc Bias=0.90

63.41Accuracy

10

Feb 26, 2026

SPMotif-Struc Bias=0.33

0.773Accuracy

10

Feb 26, 2026

CIFAR-10 Superpixels (Unseen Graph)

71.03Accuracy

10

Feb 26, 2026

ogbg-code2 standard (val)

16.61F1 Score

10

Feb 26, 2026

PROTEIN standard (test)

78.5Accuracy

10

Feb 26, 2026

PTC standard (test)

68.1Accuracy

10

Feb 26, 2026

ENZYMES (TUDataset)

99.8Accuracy

10

Feb 26, 2026

Benzene MultipleMotif (test)

86.1AUC-ROC

9

Jun 5, 2026

Fluorid-Carbonyl MultipleMotif (test)

80.7AUC-ROC

9

Jun 5, 2026

Alkane-Carbonyl MultipleMotif (test)

94.4AUC-ROC

9

Jun 5, 2026

Page 20 of 30

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