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Semi-supervised Node Classification on Computers (test)

90.1AccuracyFull Dataset
74.08478.24282.486.558Jun 22, 2026
Updated 4mo ago

Evaluation results

MethodLinks
Full DatasetStrategy=Full Training2026.0690.1
TALKRatio (%)=3.02026.0687.9
TALKRatio (%)=2.02026.0687.4
TALKRatio (%)=1.02026.0686.4
GCSNTKRatio (%)=3.02026.0686.4
GEOMRatio (%)=3.02026.0686.4
GCSNTKRatio (%)=2.02026.0686.3
GEOMRatio (%)=2.02026.0686.1
TDALRatio (%)=3.02026.0686
TDRatio (%)=3.02026.0685.8
GCSNTKRatio (%)=1.02026.0685.6
TDRatio (%)=2.02026.0685.3
TDALRatio (%)=2.02026.0685.3
GEOMRatio (%)=1.02026.0685.2
CLMRatio (%)=3.02026.0684.9
GCondRatio (%)=3.02026.0684.9
GCondRatio (%)=2.02026.0684.8
GCondRatio (%)=1.02026.0684.6
CLMRatio (%)=2.02026.0684.2
GCDMRatio (%)=3.02026.0684.2
TDALRatio (%)=1.02026.0684.1
TDRatio (%)=1.02026.0683.9
GCDMRatio (%)=2.02026.0683.8
RandomRatio (%)=3.02026.0683.3
GCDMRatio (%)=1.02026.0682.6
CLMRatio (%)=1.02026.0682.1
RandomRatio (%)=2.02026.0681
K-CenterRatio (%)=3.02026.0679.2
RandomRatio (%)=1.02026.0678.9
K-CenterRatio (%)=2.02026.0675.3
K-CenterRatio (%)=1.02026.0674.7