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Estimating the number of communities in networks by spectral methods
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Estimating the number of communities in networks by spectral methods

Can M. Le
Elizaveta Levina
ArXiv (abs)PDFHTML

Papers citing "Estimating the number of communities in networks by spectral methods"

6 / 6 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
Consistent model selection for the Degree Corrected Stochastic Blockmodel
Consistent model selection for the Degree Corrected Stochastic Blockmodel
Andressa Cerqueira
S. Gallo
Florencia Leonardi
C. Vera
52
2
0
07 Feb 2023
Variational Estimators of the Degree-corrected Latent Block Model for Bipartite Networks
Variational Estimators of the Degree-corrected Latent Block Model for Bipartite Networks
Yunpeng Zhao
Ning Hao
Ji Zhu
43
2
0
16 Jun 2022
Estimation and inference for stochastic blockmodels
Estimation and inference for stochastic blockmodels
Koen Jochmans
50
0
0
27 Jan 2022
Partial recovery and weak consistency in the non-uniform hypergraph Stochastic Block Model
Partial recovery and weak consistency in the non-uniform hypergraph Stochastic Block Model
Ioana Dumitriu
Haixiao Wang
Yizhe Zhu
65
12
0
22 Dec 2021
A likelihood-ratio type test for stochastic block models with bounded degrees
A likelihood-ratio type test for stochastic block models with bounded degrees
Mingao Yuan
Yang Feng
Zuofeng Shang
32
11
0
12 Jul 2018

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