ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1207.2340
  4. Cited By
Pseudo-likelihood methods for community detection in large sparse
  networks

Pseudo-likelihood methods for community detection in large sparse networks

10 July 2012
Arash A. Amini
Aiyou Chen
Peter J. Bickel
Elizaveta Levina
ArXivPDFHTML

Papers citing "Pseudo-likelihood methods for community detection in large sparse networks"

46 / 46 papers shown
Title
New Recipe for Semi-supervised Community Detection: Clique Annealing under Crystallization Kinetics
New Recipe for Semi-supervised Community Detection: Clique Annealing under Crystallization Kinetics
Ling Cheng
Jiashu Pu
Ruicheng Liang
Qian Shao
Hezhe Qiao
Feida Zhu
31
0
0
22 Apr 2025
Human-Centric Community Detection in Hybrid Metaverse Networks with Integrated AI Entities
Human-Centric Community Detection in Hybrid Metaverse Networks with Integrated AI Entities
Shih-Hsuan Chiu
Ya-Wen Teng
De-Nian Yang
Ming-Syan Chen
38
0
0
15 Feb 2025
Network two-sample test for block models
Network two-sample test for block models
Chung Kyong Nguen
Oscar Hernan Madrid Padilla
Arash A. Amini
32
0
0
10 Jun 2024
Selecting the Number of Communities for Weighted Degree-Corrected Stochastic Block Models
Selecting the Number of Communities for Weighted Degree-Corrected Stochastic Block Models
Yucheng Liu
Xiaodong Li
46
0
0
08 Jun 2024
rMultiNet: An R Package For Multilayer Networks Analysis
rMultiNet: An R Package For Multilayer Networks Analysis
Ting Li
Zhongyuan Lyu
Chenyu Ren
Dong Xia
34
1
0
09 Feb 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
14
2
0
07 Feb 2023
Implications of sparsity and high triangle density for graph
  representation learning
Implications of sparsity and high triangle density for graph representation learning
Hannah Sansford
Alexander Modell
N. Whiteley
Patrick Rubin-Delanchy
25
1
0
27 Oct 2022
Approximate sampling and estimation of partition functions using neural
  networks
Approximate sampling and estimation of partition functions using neural networks
George T. Cantwell
BDL
DRL
21
1
0
21 Sep 2022
Adversarial contamination of networks in the setting of vertex
  nomination: a new trimming method
Adversarial contamination of networks in the setting of vertex nomination: a new trimming method
Sheyda Peyman
M. Tang
V. Lyzinski
AAML
28
0
0
20 Aug 2022
Distributed Community Detection in Large Networks
Distributed Community Detection in Large Networks
Shenmin Zhang
R. Song
Wenbin Lu
Ji Zhu
22
3
0
12 Mar 2022
SSSNET: Semi-Supervised Signed Network Clustering
SSSNET: Semi-Supervised Signed Network Clustering
Yixuan He
Gesine Reinert
Songchao Wang
Mihai Cucuringu
26
28
0
13 Oct 2021
Spectral embedding for dynamic networks with stability guarantees
Spectral embedding for dynamic networks with stability guarantees
Ian Gallagher
Andrew Jones
Patrick Rubin-Delanchy
26
24
0
02 Jun 2021
A Comprehensive Survey on Community Detection with Deep Learning
A Comprehensive Survey on Community Detection with Deep Learning
Xing Su
Shan Xue
Fanzhen Liu
Jia Wu
Jian Yang
...
Cécile Paris
Surya Nepal
Di Jin
Quan Z. Sheng
Philip S. Yu
GNN
22
321
0
26 May 2021
Uncertainty quantification and testing in a stochastic block model with
  two unequal communities
Uncertainty quantification and testing in a stochastic block model with two unequal communities
J. van Waaij
B. Kleijn
21
1
0
18 May 2021
Spectral Methods for Data Science: A Statistical Perspective
Spectral Methods for Data Science: A Statistical Perspective
Yuxin Chen
Yuejie Chi
Jianqing Fan
Cong Ma
40
165
0
15 Dec 2020
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
28
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
21
14
0
09 Nov 2020
Fast Network Community Detection with Profile-Pseudo Likelihood Methods
Fast Network Community Detection with Profile-Pseudo Likelihood Methods
Jiangzhou Wang
Jingfei Zhang
Binghui Liu
Ji Zhu
Jianhua Guo
29
25
0
01 Nov 2020
Extended Stochastic Block Models with Application to Criminal Networks
Extended Stochastic Block Models with Application to Criminal Networks
Sirio Legramanti
T. Rigon
Daniele Durante
David B. Dunson
35
21
0
16 Jul 2020
Spectral embedding of regularized block models
Spectral embedding of regularized block models
Nathan de Lara
Thomas Bonald
11
3
0
23 Dec 2019
Testing for Association in Multi-View Network Data
Testing for Association in Multi-View Network Data
Lucy L. Gao
Daniela Witten
Jacob Bien
15
8
0
25 Sep 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
Understanding Regularized Spectral Clustering via Graph Conductance
Understanding Regularized Spectral Clustering via Graph Conductance
Yilin Zhang
Karl Rohe
15
80
0
05 Jun 2018
Identifiability of Nonparametric Mixture Models and Bayes Optimal
  Clustering
Identifiability of Nonparametric Mixture Models and Bayes Optimal Clustering
Bryon Aragam
Chen Dan
Eric P. Xing
Pradeep Ravikumar
16
29
0
12 Feb 2018
Revisiting Spectral Graph Clustering with Generative Community Models
Revisiting Spectral Graph Clustering with Generative Community Models
Pin-Yu Chen
Lingfei Wu
11
12
0
14 Sep 2017
Two provably consistent divide and conquer clustering algorithms for
  large networks
Two provably consistent divide and conquer clustering algorithms for large networks
Soumendu Sundar Mukherjee
Purnamrita Sarkar
Peter J. Bickel
23
12
0
18 Aug 2017
Provable Estimation of the Number of Blocks in Block Models
Provable Estimation of the Number of Blocks in Block Models
Bowei Yan
Purnamrita Sarkar
Xiuyuan Cheng
27
32
0
24 May 2017
Consistent structure estimation of exponential-family random graph
  models with block structure
Consistent structure estimation of exponential-family random graph models with block structure
M. Schweinberger
49
15
0
24 Feb 2017
Community Detection in Degree-Corrected Block Models
Community Detection in Degree-Corrected Block Models
Chao Gao
Zongming Ma
A. Zhang
Harrison H. Zhou
19
136
0
24 Jul 2016
Laplacian Eigenmaps from Sparse, Noisy Similarity Measurements
Laplacian Eigenmaps from Sparse, Noisy Similarity Measurements
Keith D. Levin
V. Lyzinski
18
14
0
12 Mar 2016
Probabilistic community detection with unknown number of communities
Probabilistic community detection with unknown number of communities
J. Geng
A. Bhattacharya
D. Pati
21
73
0
25 Feb 2016
Consistent nonparametric estimation for heavy-tailed sparse graphs
Consistent nonparametric estimation for heavy-tailed sparse graphs
C. Borgs
J. Chayes
Henry Cohn
S. Ganguly
31
25
0
26 Aug 2015
Minimax Rates of Community Detection in Stochastic Block Models
Minimax Rates of Community Detection in Stochastic Block Models
A. Zhang
Harrison H. Zhou
32
185
0
19 Jul 2015
Optimal Bayesian estimation in stochastic block models
Optimal Bayesian estimation in stochastic block models
D. Pati
A. Bhattacharya
30
7
0
26 May 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 unified view of generative models for networks: models, methods,
  opportunities, and challenges
A unified view of generative models for networks: models, methods, opportunities, and challenges
Abigail Z. Jacobs
A. Clauset
49
31
0
14 Nov 2014
The geometry of kernelized spectral clustering
The geometry of kernelized spectral clustering
Geoffrey Schiebinger
Martin J. Wainwright
Bin Yu
38
62
0
29 Apr 2014
Robust and computationally feasible community detection in the presence
  of arbitrary outlier nodes
Robust and computationally feasible community detection in the presence of arbitrary outlier nodes
T. Tony Cai
Xiaodong Li
56
139
0
23 Apr 2014
Impact of regularization on Spectral Clustering
Impact of regularization on Spectral Clustering
Antony Joseph
Bin Yu
68
164
0
05 Dec 2013
Hypothesis Testing for Automated Community Detection in Networks
Hypothesis Testing for Automated Community Detection in Networks
Peter J. Bickel
Purnamrita Sarkar
40
201
0
12 Nov 2013
Regularized Spectral Clustering under the Degree-Corrected Stochastic
  Blockmodel
Regularized Spectral Clustering under the Degree-Corrected Stochastic Blockmodel
Tai Qin
Karl Rohe
38
302
0
16 Sep 2013
Matrix estimation by Universal Singular Value Thresholding
Matrix estimation by Universal Singular Value Thresholding
S. Chatterjee
69
520
0
06 Dec 2012
Asymptotic normality of maximum likelihood and its variational
  approximation for stochastic blockmodels
Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels
Peter J. Bickel
David S. Choi
Xiangyu Chang
Hai Zhang
71
220
0
04 Jul 2012
The Highest Dimensional Stochastic Blockmodel with a Regularized
  Estimator
The Highest Dimensional Stochastic Blockmodel with a Regularized Estimator
Karl Rohe
Tai Qin
Haoyang Fan
66
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
1