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Bias-adjusted spectral clustering in multi-layer stochastic block models

Bias-adjusted spectral clustering in multi-layer stochastic block models

18 March 2020
Jing Lei
K. Lin
ArXivPDFHTML

Papers citing "Bias-adjusted spectral clustering in multi-layer stochastic block models"

25 / 25 papers shown
Title
Community detection by spectral methods in multi-layer networks
Community detection by spectral methods in multi-layer networks
Huan Qing
90
2
0
19 Mar 2024
Optimality of Spectral Clustering in the Gaussian Mixture Model
Optimality of Spectral Clustering in the Gaussian Mixture Model
Matthias Löffler
A. Zhang
Harrison H. Zhou
52
82
0
01 Nov 2019
Inference for multiple heterogeneous networks with a common invariant
  subspace
Inference for multiple heterogeneous networks with a common invariant subspace
Jesús Arroyo
A. Athreya
Joshua Cape
Guodong Chen
Carey E. Priebe
Joshua T. Vogelstein
54
114
0
24 Jun 2019
Sharp optimal recovery in the two-component Gaussian Mixture Model
Sharp optimal recovery in the two-component Gaussian Mixture Model
M. Ndaoud
50
42
0
19 Dec 2018
Heteroskedastic PCA: Algorithm, Optimality, and Applications
Heteroskedastic PCA: Algorithm, Optimality, and Applications
Anru R. Zhang
T. Tony Cai
Yihong Wu
101
71
0
19 Oct 2018
Spectral Clustering for Multiple Sparse Networks: I
Spectral Clustering for Multiple Sparse Networks: I
Sharmodeep Bhattacharyya
Sabyasachi Chatterjee
42
40
0
27 May 2018
Network Representation Using Graph Root Distributions
Network Representation Using Graph Root Distributions
Jing Lei
75
31
0
27 Feb 2018
Spectral clustering in the dynamic stochastic block model
Spectral clustering in the dynamic stochastic block model
Marianna Pensky
Teng Zhang
75
76
0
02 May 2017
Spectral and matrix factorization methods for consistent community
  detection in multi-layer networks
Spectral and matrix factorization methods for consistent community detection in multi-layer networks
Subhadeep Paul
Yuguo Chen
14
87
0
24 Apr 2017
Community Detection and Stochastic Block Models
Community Detection and Stochastic Block Models
Emmanuel Abbe
66
1,187
0
29 Mar 2017
Tensor SVD: Statistical and Computational Limits
Tensor SVD: Statistical and Computational Limits
Anru R. Zhang
Dong Xia
42
168
0
08 Mar 2017
Network cross-validation by edge sampling
Network cross-validation by edge sampling
Tianxi Li
Elizaveta Levina
Ji Zhu
44
164
0
14 Dec 2016
The use of deep learning in image segmentation, classification and
  detection
The use of deep learning in image segmentation, classification and detection
Mihai-Sorin Badea
Iulian-Ionut Felea
L. Florea
C. Vertan
71
41
0
31 May 2016
The Kato--Temple inequality and eigenvalue concentration with
  applications to graph inference
The Kato--Temple inequality and eigenvalue concentration with applications to graph inference
Joshua Cape
M. Tang
Carey E. Priebe
34
7
0
19 Mar 2016
Minimax Rates of Community Detection in Stochastic Block Models
Minimax Rates of Community Detection in Stochastic Block Models
A. Zhang
Harrison H. Zhou
218
186
0
19 Jul 2015
Concentration and regularization of random graphs
Concentration and regularization of random graphs
Can M. Le
Elizaveta Levina
Roman Vershynin
49
153
0
01 Jun 2015
Dynamic stochastic blockmodels for time-evolving social networks
Dynamic stochastic blockmodels for time-evolving social networks
Kevin S. Xu
Alfred Hero
132
235
0
04 Mar 2014
Consistency of spectral clustering in stochastic block models
Consistency of spectral clustering in stochastic block models
Jing Lei
Alessandro Rinaldo
113
603
0
07 Dec 2013
Random perturbation of low rank matrices: Improving classical bounds
Random perturbation of low rank matrices: Improving classical bounds
Sean O’Rourke
V. Vu
Ke Wang
80
102
0
12 Nov 2013
Partial Distance Correlation with Methods for Dissimilarities
Partial Distance Correlation with Methods for Dissimilarities
G. Székely
Maria L. Rizzo
117
308
0
10 Oct 2013
Parsimonious module inference in large networks
Parsimonious module inference in large networks
Tiago P. Peixoto
MoE
72
201
0
19 Dec 2012
Clustering with Multi-Layer Graphs: A Spectral Perspective
Clustering with Multi-Layer Graphs: A Spectral Perspective
Xiaowen Dong
P. Frossard
P. Vandergheynst
N. Nefedov
75
151
0
11 Jun 2011
Spectral clustering and the high-dimensional stochastic blockmodel
Spectral clustering and the high-dimensional stochastic blockmodel
Karl Rohe
S. Chatterjee
Bin Yu
181
931
0
09 Jul 2010
A survey of statistical network models
A survey of statistical network models
Anna Goldenberg
A. Zheng
S. Fienberg
E. Airoldi
145
980
0
29 Dec 2009
Mixed membership stochastic blockmodels
Mixed membership stochastic blockmodels
E. Airoldi
David M. Blei
S. Fienberg
Eric Xing
282
2,117
0
30 May 2007
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