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Graph Classification research benchmarks – Page 27 · SOTA2 Research

Graph Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

RDT-B TUDataset (10-fold cross-validation)

94.8Accuracy

5

Feb 26, 2026

OVCAR-8H medium-scale (test)

97.7Accuracy

5

Feb 26, 2026

OVCAR-8 medium-scale (test)

97.4Accuracy

5

Feb 26, 2026

UACC257H medium-scale (test)

98.1Accuracy

5

Feb 26, 2026

UACC257 medium-scale (test)

97.4Accuracy

5

Feb 26, 2026

YEASTH medium-scale (test)

95.7Accuracy

5

Feb 26, 2026

YEAST medium-scale (test)

95Accuracy

5

Feb 26, 2026

PTC MM (10-fold cross val)

66.6Accuracy

5

Feb 26, 2026

PTC FR (10-fold cross val)

68Accuracy

5

Feb 26, 2026

PTC FM (10-fold cross validation)

63.8Accuracy

5

Feb 26, 2026

83.14Accuracy

5

Feb 26, 2026

72Running Time (s)

5

Feb 26, 2026

31Running Time (s)

5

Feb 26, 2026

10Running Time (s)

5

Feb 26, 2026

6Running Time (s)

5

Feb 26, 2026

MNIST GNNBenchmark (test)

98.414Accuracy

5

Feb 26, 2026

CIFAR10 GNNBenchmark (test)

74.754Accuracy

5

Feb 26, 2026

10.4F1 Score

4

Jun 30, 2026

1.1F1 Score

4

Jun 30, 2026

2F1 Score

4

Jun 30, 2026

Synthetic Graphs (2880)

85.2Mean F1 Score

4

Jun 17, 2026

Synthetic Graphs 1080

79.2Mean F1 Score

4

Jun 17, 2026

Synthetic Graphs 360

76.7Mean F1 Score

4

Jun 17, 2026

Synthetic Graphs 180

73.7Mean F1 Score

4

Jun 17, 2026

Synthetic Graphs (90 graphs)

67.8Mean F1 Score

4

Jun 17, 2026

Page 27 of 30

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