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Regularized Spectral Clustering under the Degree-Corrected Stochastic
  Blockmodel

Regularized Spectral Clustering under the Degree-Corrected Stochastic Blockmodel

16 September 2013
Tai Qin
Karl Rohe
ArXivPDFHTML

Papers citing "Regularized Spectral Clustering under the Degree-Corrected Stochastic Blockmodel"

43 / 43 papers shown
Title
Valid Bootstraps for Network Embeddings with Applications to Network Visualisation
Valid Bootstraps for Network Embeddings with Applications to Network Visualisation
Emerald Dilworth
Ed Davis
Daniel J. Lawson
37
0
0
28 Oct 2024
Differentially private exact recovery for stochastic block models
Differentially private exact recovery for stochastic block models
Dung Nguyen
Anil Vullikanti
55
2
0
04 Jun 2024
Community detection by spectral methods in multi-layer networks
Community detection by spectral methods in multi-layer networks
Huan Qing
42
2
0
19 Mar 2024
Semiparametric Modeling and Analysis for Longitudinal Network Data
Semiparametric Modeling and Analysis for Longitudinal Network Data
Yinqiu He
Jiajin Sun
Yuang Tian
Z. Ying
Yang Feng
41
1
0
23 Aug 2023
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
19
2
0
07 Feb 2023
Fundamental Limits of Spectral Clustering in Stochastic Block Models
Fundamental Limits of Spectral Clustering in Stochastic Block Models
An Zhang
44
4
0
23 Jan 2023
A Spectral Analysis of Graph Neural Networks on Dense and Sparse Graphs
A Spectral Analysis of Graph Neural Networks on Dense and Sparse Graphs
Luana Ruiz
Ningyuan Huang
Soledad Villar
26
5
0
06 Nov 2022
Clustering for directed graphs using parametrized random walk diffusion
  kernels
Clustering for directed graphs using parametrized random walk diffusion kernels
Harry Sevi
Matthieu Jonckheere
Argyris Kalogeratos
23
2
0
01 Oct 2022
Interpreting Graph-based Sybil Detection Methods as Low-Pass Filtering
Interpreting Graph-based Sybil Detection Methods as Low-Pass Filtering
Satoshi Furutani
Toshiki Shibahara
Mitsuaki Akiyama
Masaki Aida
AAML
14
2
0
22 Jun 2022
Distributed Community Detection in Large Networks
Distributed Community Detection in Large Networks
Shenmin Zhang
R. Song
Wenbin Lu
Ji Zhu
32
3
0
12 Mar 2022
Community detection for weighted bipartite networks
Community detection for weighted bipartite networks
Huan Qing
Jingli Wang
47
11
0
21 Sep 2021
Directed degree corrected mixed membership model and estimating
  community memberships in directed networks
Directed degree corrected mixed membership model and estimating community memberships in directed networks
Huan Qing
25
3
0
16 Sep 2021
Estimating Graph Dimension with Cross-validated Eigenvalues
Estimating Graph Dimension with Cross-validated Eigenvalues
Fan Chen
S. Roch
Karl Rohe
Shuqi Yu
32
12
0
06 Aug 2021
Directed mixed membership stochastic blockmodel
Directed mixed membership stochastic blockmodel
Huan Qing
Jingli Wang
25
5
0
07 Jan 2021
Spectral clustering via adaptive layer aggregation for multi-layer
  networks
Spectral clustering via adaptive layer aggregation for multi-layer networks
Sihan Huang
Haolei Weng
Yang Feng
30
21
0
07 Dec 2020
Spectral clustering on spherical coordinates under the degree-corrected
  stochastic blockmodel
Spectral clustering on spherical coordinates under the degree-corrected stochastic blockmodel
Francesco Sanna Passino
N. Heard
Patrick Rubin-Delanchy
31
14
0
09 Nov 2020
Motif-Based Spectral Clustering of Weighted Directed Networks
Motif-Based Spectral Clustering of Weighted Directed Networks
W. Underwood
Andrew Elliott
Mihai Cucuringu
23
12
0
02 Apr 2020
Spectral embedding of regularized block models
Spectral embedding of regularized block models
Nathan de Lara
Thomas Bonald
17
3
0
23 Dec 2019
Monitoring dynamic networks: a simulation-based strategy for comparing
  monitoring methods and a comparative study
Monitoring dynamic networks: a simulation-based strategy for comparing monitoring methods and a comparative study
Lisha Yu
Inez M. Zwetsloot
Nathaniel T. Stevens
James D. Wilson
K. Tsui
21
18
0
24 May 2019
Blind identification of stochastic block models from dynamical
  observations
Blind identification of stochastic block models from dynamical observations
Michael T. Schaub
Santiago Segarra
J. Tsitsiklis
16
33
0
22 May 2019
Spectral Clustering of Signed Graphs via Matrix Power Means
Spectral Clustering of Signed Graphs via Matrix Power Means
Pedro Mercado
Francesco Tudisco
Matthias Hein
19
33
0
15 May 2019
Vertex Nomination, Consistent Estimation, and Adversarial Modification
Vertex Nomination, Consistent Estimation, and Adversarial Modification
Joshua Agterberg
Youngser Park
Jonathan Larson
Christopher M. White
Carey E. Priebe
V. Lyzinski
40
16
0
06 May 2019
Convex optimization for the densest subgraph and densest submatrix
  problems
Convex optimization for the densest subgraph and densest submatrix problems
Polina Bombina
Brendan P. W. Ames
44
9
0
05 Apr 2019
Pairwise Covariates-adjusted Block Model for Community Detection
Pairwise Covariates-adjusted Block Model for Community Detection
Sihan Huang
Jiajin Sun
Yang Feng
17
24
0
10 Jul 2018
Overlapping Clustering Models, and One (class) SVM to Bind Them All
Overlapping Clustering Models, and One (class) SVM to Bind Them All
Xueyu Mao
Purnamrita Sarkar
Deepayan Chakrabarti
23
37
0
18 Jun 2018
Understanding Regularized Spectral Clustering via Graph Conductance
Understanding Regularized Spectral Clustering via Graph Conductance
Yilin Zhang
Karl Rohe
21
80
0
05 Jun 2018
Analysis of spectral clustering algorithms for community detection: the
  general bipartite setting
Analysis of spectral clustering algorithms for community detection: the general bipartite setting
Zhixin Zhou
Arash A. Amini
16
95
0
12 Mar 2018
A statistical interpretation of spectral embedding: the generalised
  random dot product graph
A statistical interpretation of spectral embedding: the generalised random dot product graph
Patrick Rubin-Delanchy
Joshua Cape
M. Tang
Carey E. Priebe
28
128
0
16 Sep 2017
Revisiting Spectral Graph Clustering with Generative Community Models
Revisiting Spectral Graph Clustering with Generative Community Models
Pin-Yu Chen
Lingfei Wu
17
12
0
14 Sep 2017
The Power of Side-information in Subgraph Detection
The Power of Side-information in Subgraph Detection
Arun Kadavankandy
Konstantin Avrachenkov
L. Cottatellucci
R. Sundaresan
30
14
0
10 Nov 2016
Community Detection in Degree-Corrected Block Models
Community Detection in Degree-Corrected Block Models
Chao Gao
Zongming Ma
A. Zhang
Harrison H. Zhou
22
136
0
24 Jul 2016
Information Recovery in Shuffled Graphs via Graph Matching
Information Recovery in Shuffled Graphs via Graph Matching
V. Lyzinski
22
32
0
08 May 2016
Laplacian Eigenmaps from Sparse, Noisy Similarity Measurements
Laplacian Eigenmaps from Sparse, Noisy Similarity Measurements
Keith D. Levin
V. Lyzinski
24
14
0
12 Mar 2016
Community Detection in Networks with Node Features
Community Detection in Networks with Node Features
Yuan Zhang
Elizaveta Levina
Ji Zhu
18
128
0
03 Sep 2015
Consistent nonparametric estimation for heavy-tailed sparse graphs
Consistent nonparametric estimation for heavy-tailed sparse graphs
C. Borgs
J. Chayes
Henry Cohn
S. Ganguly
37
25
0
26 Aug 2015
A spectral method for community detection in moderately-sparse
  degree-corrected stochastic block models
A spectral method for community detection in moderately-sparse degree-corrected stochastic block models
Lennart Gulikers
Marc Lelarge
Laurent Massoulié
23
62
0
29 Jun 2015
Sparse random graphs: regularization and concentration of the Laplacian
Sparse random graphs: regularization and concentration of the Laplacian
Can M. Le
Elizaveta Levina
Roman Vershynin
39
56
0
10 Feb 2015
Detecting Overlapping Communities in Networks Using Spectral Methods
Detecting Overlapping Communities in Networks Using Spectral Methods
Yuan Zhang
Elizaveta Levina
Ji Zhu
46
103
0
10 Dec 2014
A nonparametric two-sample hypothesis testing problem for random dot
  product graphs
A nonparametric two-sample hypothesis testing problem for random dot product graphs
M. Tang
A. Athreya
D. Sussman
V. Lyzinski
Carey E. Priebe
43
36
0
08 Sep 2014
Impact of regularization on Spectral Clustering
Impact of regularization on Spectral Clustering
Antony Joseph
Bin Yu
74
164
0
05 Dec 2013
Perfect Clustering for Stochastic Blockmodel Graphs via Adjacency
  Spectral Embedding
Perfect Clustering for Stochastic Blockmodel Graphs via Adjacency Spectral Embedding
V. Lyzinski
D. Sussman
M. Tang
A. Athreya
Carey Priebe
58
114
0
02 Oct 2013
The Highest Dimensional Stochastic Blockmodel with a Regularized
  Estimator
The Highest Dimensional Stochastic Blockmodel with a Regularized Estimator
Karl Rohe
Tai Qin
Haoyang Fan
71
18
0
11 Jun 2012
Co-clustering for directed graphs: the Stochastic co-Blockmodel and
  spectral algorithm Di-Sim
Co-clustering for directed graphs: the Stochastic co-Blockmodel and spectral algorithm Di-Sim
Karl Rohe
Tai Qin
Bin Yu
53
36
0
10 Apr 2012
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