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2006.04510
Cited By

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

Neural Information Processing Systems (NeurIPS), 2020

3 June 2020

Lorenzo DallÁmico

Romain Couillet

Nicolas M Tremblay

ArXiv (abs)PDF HTML

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

4 / 4 papers shown

An embedding-based distance for temporal graphs

An embedding-based distance for temporal graphsNature Communications (Nat. Commun.), 2024

Lorenzo DallÁmico

349

13

0

23 Jan 2024

Sparse random hypergraphs: Non-backtracking spectra and community
detection

Sparse random hypergraphs: Non-backtracking spectra and community detectionIEEE Annual Symposium on Foundations of Computer Science (FOCS), 2022

Ludovic Stephan

376

31

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 graphsJournal of Statistical Mechanics: Theory and Experiment (JSTAT), 2021

Lorenzo DallÁmico

Romain Couillet

Nicolas M Tremblay

335

17

0

05 Mar 2021

A unified framework for spectral clustering in sparse graphs

A unified framework for spectral clustering in sparse graphsJournal of machine learning research (JMLR), 2020

Lorenzo DallÁmico

Romain Couillet

Nicolas M Tremblay

412

23

0

20 Mar 2020

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