Revisiting the Bethe-Hessian: Improved Community Detection in Sparse Heterogeneous Graphs

作者: Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay

摘要

Spectral clustering is one of the most popular, yet still incompletely understood, methods for community detection on graphs. This article studies spectral clustering based on the Bethe-Hessian matrix H

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