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Graph Clustering on EEH

98.6AccuracymWDK
85.49688.89892.395.702Feb 14, 2026

Evaluation results

MethodLinks
mWDKMethod Category=Optimization-free (OpF) methods2026.0298.689.994.3
MAGIMethod Category=Deep learning and random-walk methods, Inference Type=End-to-end clustering2026.0297.379.287.8
PANEMethod Category=Deep learning and random-walk methods2026.0296.578.586.3
WDKMethod Category=Optimization-free (OpF) methods2026.0296.277.485.4
NDLSMethod Category=Deep learning and random-walk methods, Approach=GAE2026.0294.569.979.2
NDLSMethod Category=Deep learning and random-walk methods, Approach=Optimization-free (OpF)2026.029468.277.4
DAEGCMethod Category=Deep learning and random-walk methods, Inference Type=End-to-end clustering2026.0293.566.467.5
WLMethod Category=Optimization-free (OpF) methods2026.0293.26674.8
GSNNMethod Category=Deep learning and random-walk methods, Approach=Optimization-free (OpF)2026.0293.165.574.5
AGCMethod Category=Optimization-free (OpF) methods2026.0291.157.767.6
GSNNMethod Category=Deep learning and random-walk methods, Approach=GAE2026.0288.448.559.1
GAEMethod Category=Deep learning and random-walk methods2026.028641.651.8