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Node Classification research benchmarks – Page 71 · SOTA2 Research

Node Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Cora Standard 20 nodes/class (Fixed train)

84.4Accuracy

7

Feb 26, 2026

85.3Accuracy

7

Feb 26, 2026

97.2Accuracy

7

Feb 26, 2026

Citeseer reduced-label (test)

70.3Accuracy

7

Feb 26, 2026

Pubmed reduced-label (test)

72.4Accuracy

7

Feb 26, 2026

Cora reduced-label (test)

79.6Accuracy

7

Feb 26, 2026

Citeseer missing-edge setting (test)

71.6Accuracy

7

Feb 26, 2026

Pubmed missing-edge setting (test)

0.766Accuracy

7

Feb 26, 2026

HUMAN PPI δ = 1 (test)

74.6F1 Score

7

Feb 26, 2026

DISEASE-M δ = 0 (test)

72.2F1 Score

7

Feb 26, 2026

Ogbn-products Evolving

73.88Accuracy

6

Jun 16, 2026

Ogbn-products Non-Evolving

73.4Accuracy

6

Jun 16, 2026

89.4Accuracy

6

Jun 11, 2026

Goodreads Cross-Domain (test)

53.75Node Classification Accuracy

6

Jun 11, 2026

Toys in-domain transfer

61.29Accuracy

6

Jun 11, 2026

66.44Accuracy

6

Jun 4, 2026

0.53Runtime (s)

6

May 20, 2026

93.4Marginal Coverage

6

May 11, 2026

City-Networks London (test)

61.47Accuracy

6

Apr 7, 2026

73.94Micro-F1

6

Apr 1, 2026

76.4Accuracy

6

Feb 26, 2026

82.6Accuracy

6

Feb 26, 2026

90.1Accuracy

6

Feb 26, 2026

Colorectal Cancer Rel (test)

0.596F1 (Macro)

6

Feb 26, 2026

Lung Cancer Rel (test)

0.592Macro F1

6

Feb 26, 2026

Page 71 of 87

Popular datasets

Cora Citeseer Pubmed Ogbn-arxiv Chameleon

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