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Community detection in sparse time-evolving graphs with a dynamical
  Bethe-Hessian
v1v2 (latest)

Community detection in sparse time-evolving graphs with a dynamical Bethe-Hessian

3 June 2020
Lorenzo DallÁmico
Romain Couillet
Nicolas M Tremblay
ArXiv (abs)PDFHTML

Papers citing "Community detection in sparse time-evolving graphs with a dynamical Bethe-Hessian"

4 / 4 papers shown
Title
An embedding-based distance for temporal graphs
An embedding-based distance for temporal graphs
Lorenzo DallÁmico
Alain Barrat
C. Cattuto
61
5
0
23 Jan 2024
Sparse random hypergraphs: Non-backtracking spectra and community
  detection
Sparse random hypergraphs: Non-backtracking spectra and community detection
Ludovic Stephan
Yizhe Zhu
62
21
0
14 Mar 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
A unified framework for spectral clustering in sparse graphs
A unified framework for spectral clustering in sparse graphs
Lorenzo DallÁmico
Romain Couillet
Nicolas M Tremblay
55
19
0
20 Mar 2020
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