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Papers Benchmarks Datasets Tasks

Graph Classification research benchmarks – Page 3 · SOTA2 Research

Graph Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

93.4Accuracy

83

Apr 1, 2026

OGBG-MOLPCBA v1 (test)

27.6AP

77

Feb 26, 2026

87.4Accuracy

77

Jul 7, 2026

1.8Classification Error Rate

72

Jun 1, 2026

77.9Accuracy

70

Mar 11, 2026

87.9Accuracy

70

Mar 11, 2026

70.53Accuracy

70

Apr 30, 2026

COX2_MD to COX2 (target)

77.8Accuracy

65

Apr 6, 2026

77.7Accuracy

64

Jun 30, 2026

DD D0 → D1 (target)

55.7Accuracy

60

Jun 2, 2026

Mutagenicity M3→M2

81.6Accuracy

60

Jun 2, 2026

Mutagenicity M3→M1

82.4Accuracy

60

Jun 2, 2026

Mutagenicity M3→M0

74.5Accuracy

60

Jun 2, 2026

Mutagenicity M2→M3

72.5Accuracy

60

Jun 2, 2026

Mutagenicity (M2→M1)

87.2Accuracy

60

Jun 2, 2026

Mutagenicity M2→M0

78.3Accuracy

60

Jun 2, 2026

Mutagenicity M1→M3

70.8Accuracy

60

Jun 2, 2026

Mutagenicity M1→M2

79.9Accuracy

60

Jun 2, 2026

Mutagenicity M1→M0

78.1Accuracy

60

Jun 2, 2026

Mutagenicity M0→M3

66.2Accuracy

60

Jun 2, 2026

Mutagenicity M0→M1

77.1Accuracy

60

Jun 2, 2026

73.2Accuracy

60

Jun 2, 2026

64.3Accuracy

60

Jun 2, 2026

75.4Accuracy

60

Jun 2, 2026

77.3Accuracy

60

Jun 2, 2026

Page 3 of 30

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