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Nishimori meets Bethe: a spectral method for node classification in
  sparse weighted graphs
v1v2 (latest)

Nishimori meets Bethe: a spectral method for node classification in sparse weighted graphs

Journal of Statistical Mechanics: Theory and Experiment (JSTAT), 2021
5 March 2021
Lorenzo DallÁmico
Romain Couillet
Nicolas M Tremblay
ArXiv (abs)PDFHTML

Papers citing "Nishimori meets Bethe: a spectral method for node classification in sparse weighted graphs"

7 / 7 papers shown
Synthetic Image Detection via Spectral Gaps of QC-RBIM Nishimori Bethe-Hessian Operators
Synthetic Image Detection via Spectral Gaps of QC-RBIM Nishimori Bethe-Hessian Operators
V. S. Usatyuk
D. A. Sapozhnikov
S. I. Egorov
110
0
0
27 Aug 2025
Community detection with the Bethe-Hessian
Community detection with the Bethe-HessianAnnual Conference Computational Learning Theory (COLT), 2024
Ludovic Stephan
Yizhe Zhu
429
5
0
05 Nov 2024
Spherical and Hyperbolic Toric Topology-Based Codes On Graph Embedding
  for Ising MRF Models: Classical and Quantum Topology Machine Learning
Spherical and Hyperbolic Toric Topology-Based Codes On Graph Embedding for Ising MRF Models: Classical and Quantum Topology Machine Learning
V. Usatyuk
Sergey Egorov
Denis Sapozhnikov
379
3
0
28 Jul 2023
When Does Bottom-up Beat Top-down in Hierarchical Community Detection?
When Does Bottom-up Beat Top-down in Hierarchical Community Detection?Journal of the American Statistical Association (JASA), 2023
Maximilien Dreveton
Daichi Kuroda
Matthias Grossglauser
Patrick Thiran
337
3
0
01 Jun 2023
Optimal Network Membership Estimation Under Severe Degree Heterogeneity
Optimal Network Membership Estimation Under Severe Degree HeterogeneityJournal of the American Statistical Association (JASA), 2022
Z. Ke
Jingming Wang
181
12
0
26 Apr 2022
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
Yizhe Zhu
375
31
0
14 Mar 2022
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
384
23
0
20 Mar 2020
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