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Node Classification research benchmarks – Page 68 · SOTA2 Research

Node Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

WALMART 1.0 (50%/25%/25%)

69.1Accuracy

7

Feb 26, 2026

CONGRESS 1.0 (50%/25%/25%)

96.83Accuracy

7

Feb 26, 2026

95.44Accuracy

7

Feb 26, 2026

5Avg Model Evaluations

7

Feb 26, 2026

9Avg Model Evaluations

7

Feb 26, 2026

70.49Accuracy

7

Mar 4, 2026

170Training Time (s)

7

Feb 26, 2026

180Training Time (s)

7

Feb 26, 2026

Citeseer Pair noise (20%) (test)

70.7Accuracy

7

Feb 26, 2026

Cora Pair noise (20%) (test)

79.4Accuracy

7

Feb 26, 2026

Computers Uniform Missing (test)

84.72Accuracy

7

Feb 26, 2026

Computers Structural Missing (test)

84.72Accuracy

7

Feb 26, 2026

WikiCS imbalanced, ratio 100:1 (test)

72.2Accuracy

7

Feb 26, 2026

CiteSeer imbalanced, ratio 100:1 (test)

43.1Accuracy

7

Feb 26, 2026

Cora-ML imbalanced, ratio 100:1 (test)

64.9Accuracy

7

Feb 26, 2026

Texas h=0.11 (45 labeled nodes)

Biased Sampling Query Algorithm

0.804Micro-F1

7

Feb 26, 2026

Texas 15 labeled nodes h=0.11

Biased Sampling Query Algorithm

75Micro F1

7

Feb 26, 2026

Chameleon h=0.23 (100 labeled nodes)

Biased Sampling Query Algorithm

37.2Micro-F1

7

Feb 26, 2026

Chameleon h=0.23 (75 labeled nodes)

42.8Micro-F1

7

Feb 26, 2026

Chameleon h=0.23 (50 labeled nodes)

35.5Micro-F1

7

Feb 26, 2026

Citeseer h=0.74 (120 labeled nodes)

75.8Micro-F1

7

Feb 26, 2026

Citeseer h=0.74 (60 labeled nodes)

Biased Sampling Query Algorithm

72.2Micro-F1

7

Feb 26, 2026

Citeseer h=0.74 (30 labeled nodes)

Biased Sampling Query Algorithm

0.691Micro-F1

7

Feb 26, 2026

Pubmed h=0.80 (60 labeled nodes)

83.5Micro-F1

7

Feb 26, 2026

Pubmed h=0.80 (30 labeled nodes)

82.3Micro-F1

7

Feb 26, 2026

Page 68 of 87

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