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Graph Classification research benchmarks – Page 25 · SOTA2 Research

Graph Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

74.1Accuracy

7

Feb 26, 2026

59.3Accuracy

7

Feb 26, 2026

89.6Accuracy

7

Feb 26, 2026

Proteins Full (PF)

74.8Accuracy

7

Feb 26, 2026

RDT-B binary (test)

SUM-MLP (GIN-0)

92.4Accuracy

7

Feb 26, 2026

54.9AUC

6

Jun 23, 2026

MoleculeNet (test)

68.56Tox21 Accuracy

6

Jun 17, 2026

Snowflakes Fair setup

98Accuracy

6

May 26, 2026

100Accuracy

6

May 26, 2026

99.9Accuracy

6

May 26, 2026

100Accuracy

6

May 26, 2026

100Accuracy

6

May 26, 2026

DHFR (Fair setup)

ShareGNN (Random)

81.5Accuracy

6

May 26, 2026

Mutagenicity Fair setup

ShareGNN (Random)

83.3Accuracy

6

May 26, 2026

NCI109 Fair setup

ShareGNN (Random)

85.4Accuracy

6

May 26, 2026

NCI109 TU (test)

85.7Accuracy

6

May 25, 2026

85.7Accuracy

6

May 25, 2026

Mutagen TU (test)

84.1Accuracy

6

May 25, 2026

94.5Accuracy

6

May 15, 2026

Urban road-network subgraphs Chicago, San Francisco, New York (averaged over all cities and tasks)

61.76Accuracy

6

May 13, 2026

REDDIT-BINARY (test)

92.4Accuracy (Clean)

6

Feb 26, 2026

Graph-MLP-Mixer

100Accuracy

6

Feb 26, 2026

12.82Micro F1

6

Feb 26, 2026

67.23Micro F1

6

Feb 26, 2026

68.5Micro F1

6

Feb 26, 2026

Page 25 of 30

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