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Papers Benchmarks Datasets Tasks

Semi-supervised graph classification research benchmarks · SOTA2 Research

Semi-supervised graph classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

GITHUB 10-fold cross-validation

0.7Accuracy

21

Feb 26, 2026

RDT-M5K (10-fold cross-validation)

57.01Accuracy

21

Feb 26, 2026

RDT-B (10-fold cross-validation)

92.45Accuracy

21

Feb 26, 2026

COLLAB (10-fold cross-validation)

82.5Accuracy

21

Feb 26, 2026

NCI1 (10-fold cross-validation)

83.24Accuracy

21

Feb 26, 2026

DD (10-fold cross-validation)

81.8Accuracy

21

Feb 26, 2026

PROTEINS (10-fold cross-validation)

80.22Accuracy

21

Feb 26, 2026

synthetic data set

92.4Accuracy

10

Feb 26, 2026

Tencent QQ group data (test)

73.2Macro-F1

8

Feb 26, 2026

81.6Avg Accuracy

2

Feb 26, 2026

0.734Accuracy

2

Feb 26, 2026

83.5Accuracy

2

Feb 26, 2026

Popular datasets

RDT Cora Citeseer Pubmed PROTEINS

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