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A unified framework for spectral clustering in sparse graphs
v1v2 (latest)

A unified framework for spectral clustering in sparse graphs

20 March 2020
Lorenzo DallÁmico
Romain Couillet
Nicolas M Tremblay
ArXiv (abs)PDFHTML

Papers citing "A unified framework for spectral clustering in sparse graphs"

4 / 4 papers shown
Title
Community detection with the Bethe-Hessian
Community detection with the Bethe-Hessian
Ludovic Stephan
Yizhe Zhu
84
1
0
05 Nov 2024
Nonbacktracking spectral clustering of nonuniform hypergraphs
Nonbacktracking spectral clustering of nonuniform hypergraphs
Philip S. Chodrow
Nicole Eikmeier
Jamie Haddock
72
21
0
27 Apr 2022
Nishimori meets Bethe: a spectral method for node classification in
  sparse weighted graphs
Nishimori meets Bethe: a spectral method for node classification in sparse weighted graphs
Lorenzo DallÁmico
Romain Couillet
Nicolas M Tremblay
72
14
0
05 Mar 2021
Community detection in sparse time-evolving graphs with a dynamical
  Bethe-Hessian
Community detection in sparse time-evolving graphs with a dynamical Bethe-Hessian
Lorenzo DallÁmico
Romain Couillet
Nicolas M Tremblay
63
11
0
03 Jun 2020
1