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Papers Benchmarks Datasets Tasks

Transductive Node Classification research benchmarks · SOTA2 Research

Transductive Node Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Pubmed (transductive)

91Accuracy

95

Feb 26, 2026

Cora (transductive)

89.77Accuracy

72

Feb 26, 2026

Citeseer (transductive)

77.99Accuracy

61

Feb 26, 2026

Cora 20 labels per class

81.5Mean Accuracy

37

Feb 26, 2026

Citeseer 20 labels per class

COLES-GCN (Stiefel)

71.7Mean Classification Accuracy

20

Feb 26, 2026

Citeseer 5 labels per class

COLES-GCN (Stiefel)

67.9Accuracy

20

Feb 26, 2026

Cora 5 labels per class

76.5Mean Accuracy

20

Feb 26, 2026

Cora Full 5 labels per class

0.508Mean Accuracy

17

Feb 26, 2026

Pubmed 20 labels per class

77.4Accuracy

17

Feb 26, 2026

Pubmed 5 labels per class

67.6Accuracy

17

Feb 26, 2026

98.82AUC-ROC

15

Jun 4, 2026

86.73AUC-ROC

14

Jun 4, 2026

Pubmed (100 random dataset splits)

79.21Accuracy

12

Feb 26, 2026

Citeseer 100 random dataset splits

74.43Accuracy

12

Feb 26, 2026

Cora 100 random dataset splits

0.833Accuracy

12

Feb 26, 2026

68.5Accuracy

9

Feb 26, 2026

Sailing Natural missing features (test)

70.95Accuracy

8

Feb 26, 2026

Citeseer Structural missing features (test)

60.04Accuracy

8

Feb 26, 2026

Cora Structural missing features (test)

77.44Accuracy

8

Feb 26, 2026

Cora Uniform missing features (test)

79.62Accuracy

8

Feb 26, 2026

5.14RApre

8

Feb 26, 2026

0.05RApre

8

Feb 26, 2026

4.58RApre

8

Feb 26, 2026

5.28RApre (%)

8

Feb 26, 2026

81.87Accuracy

7

Feb 26, 2026

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