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Node Classification research benchmarks – Page 77 · SOTA2 Research

Node Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

pubmed concept_degree (test)

0.869Accuracy

5

Feb 26, 2026

61.26Accuracy

5

Feb 26, 2026

Minesweeper heterophilic (test)

97.39AUC

5

Feb 26, 2026

0.797Accuracy (5% Budget)

5

Feb 26, 2026

CoraFull Overall (test)

67.71Accuracy

5

Feb 26, 2026

AM static (test)

0.914Accuracy

5

Feb 26, 2026

DGS static (test)

88Accuracy

5

Feb 26, 2026

Penn94 Non-Homophilous Graph Benchmarks (test)

84.71Accuracy

5

Feb 26, 2026

YelpChi Non-Homophilous Graph Benchmarks (test)

0.932ROC-AUC

5

Feb 26, 2026

ogbn-arxiv (s2)

Training from Scratch

81.15Accuracy

5

Feb 26, 2026

Four-University

76.2Accuracy

5

Feb 26, 2026

68.3Accuracy

5

Feb 26, 2026

68.2Accuracy

5

Feb 26, 2026

Citeseer (90% train)

75.89Classification Precision

5

Feb 26, 2026

Citeseer (80% train)

74.41Classification Precision

5

Feb 26, 2026

Citeseer (70% train)

72.12Classification Precision

5

Feb 26, 2026

Citeseer (60% train)

70.77Classification Precision

5

Feb 26, 2026

Citeseer 50% (train)

69.36Classification Precision

5

Feb 26, 2026

Citeseer (40% train)

66.95Classification Precision

5

Feb 26, 2026

Citeseer (30% train)

0.647Classification Precision

5

Feb 26, 2026

Citeseer (20% train)

60.97Precision

5

Feb 26, 2026

Citeseer (10% train)

55.6Classification Precision

5

Feb 26, 2026

Cora (90% train)

89.16Classification Precision

5

Feb 26, 2026

Cora (80% train)

87.27Precision

5

Feb 26, 2026

Cora (70% train)

0.877Precision

5

Feb 26, 2026

Page 77 of 87

Popular datasets

Cora Citeseer Pubmed Ogbn-arxiv Chameleon

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