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Graph Clustering on EU

94.8AccuracymWDK
77.32881.86486.490.936Feb 14, 2026

Evaluation results

MethodLinks
mWDKMethod Category=Optimization-free (OpF) methods2026.0294.870.980.3
DAEGCMethod Category=Deep learning and random-walk methods, Inference Type=End-to-end clustering2026.0288.550.259.3
WDKMethod Category=Optimization-free (OpF) methods2026.0286.248.552.4
MAGIMethod Category=Deep learning and random-walk methods, Inference Type=End-to-end clustering2026.0285.942.157.7
PANEMethod Category=Deep learning and random-walk methods2026.0284.444.647.2
AGCMethod Category=Optimization-free (OpF) methods2026.0283.840.845.7
NDLSMethod Category=Deep learning and random-walk methods, Approach=Optimization-free (OpF)2026.0283.543.344.9
GSNNMethod Category=Deep learning and random-walk methods, Approach=Optimization-free (OpF)2026.0283.541.544.7
NDLSMethod Category=Deep learning and random-walk methods, Approach=GAE2026.0282.739.842.7
WLMethod Category=Optimization-free (OpF) methods2026.0281.841.240.4
GSNNMethod Category=Deep learning and random-walk methods, Approach=GAE2026.0280.435.163.9
GAEMethod Category=Deep learning and random-walk methods2026.027828.431.4