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Community Detection and Stochastic Block Models
v1v2v3 (latest)

Community Detection and Stochastic Block Models

29 March 2017
Emmanuel Abbe
ArXiv (abs)PDFHTML

Papers citing "Community Detection and Stochastic Block Models"

50 / 538 papers shown
Title
A Review of Stochastic Block Models and Extensions for Graph Clustering
A Review of Stochastic Block Models and Extensions for Graph Clustering
Clement Lee
D. Wilkinson
80
201
0
01 Mar 2019
Asymptotic Theory of Eigenvectors for Random Matrices with Diverging
  Spikes
Asymptotic Theory of Eigenvectors for Random Matrices with Diverging Spikes
Jianqing Fan
Yingying Fan
Xiao Han
Jinchi Lv
60
18
0
19 Feb 2019
Estimation and Clustering in Popularity Adjusted Stochastic Block Model
Estimation and Clustering in Popularity Adjusted Stochastic Block Model
M. Noroozi
R. Rimal
Marianna Pensky
81
3
0
01 Feb 2019
Stochastic Frank-Wolfe for Composite Convex Minimization
Stochastic Frank-Wolfe for Composite Convex Minimization
Francesco Locatello
A. Yurtsever
Olivier Fercoq
Volkan Cevher
52
15
0
29 Jan 2019
Exact Inference with Latent Variables in an Arbitrary Domain
Exact Inference with Latent Variables in an Arbitrary Domain
Chuyang Ke
Jean Honorio
20
2
0
28 Jan 2019
Semi-supervised Learning in Network-Structured Data via Total Variation
  Minimization
Semi-supervised Learning in Network-Structured Data via Total Variation Minimization
A. Jung
A. Hero III
Alexandru Mara
Saeed Jahromi
Ayelet Heimowitz
Yonina C. Eldar
69
31
0
28 Jan 2019
Guarantees for Spectral Clustering with Fairness Constraints
Guarantees for Spectral Clustering with Fairness Constraints
Matthäus Kleindessner
Samira Samadi
Pranjal Awasthi
Jamie Morgenstern
87
158
0
24 Jan 2019
Exact Cluster Recovery via Classical Multidimensional Scaling
Exact Cluster Recovery via Classical Multidimensional Scaling
A. Little
Yuying Xie
Qiang Sun
13
14
0
31 Dec 2018
Neural Clustering Processes
Neural Clustering Processes
Ari Pakman
Yueqi Wang
Catalin Mitelut
JinHyung Lee
Liam Paninski
BDL
24
5
0
28 Dec 2018
Sharp optimal recovery in the two-component Gaussian Mixture Model
Sharp optimal recovery in the two-component Gaussian Mixture Model
M. Ndaoud
300
43
0
19 Dec 2018
Two-sample Test of Community Memberships of Weighted Stochastic Block
  Models
Two-sample Test of Community Memberships of Weighted Stochastic Block Models
Yezheng Li
Hongzhe Li
38
17
0
30 Nov 2018
Testing Changes in Communities for the Stochastic Block Model
Testing Changes in Communities for the Stochastic Block Model
Aditya Gangrade
Praveen Venkatesh
B. Nazer
Venkatesh Saligrama
59
3
0
29 Nov 2018
Link Prediction in Networks with Core-Fringe Data
Link Prediction in Networks with Core-Fringe Data
Austin R. Benson
Jon M. Kleinberg
56
16
0
28 Nov 2018
Exact Recovery in the Hypergraph Stochastic Block Model: a Spectral
  Algorithm
Exact Recovery in the Hypergraph Stochastic Block Model: a Spectral Algorithm
Sam Cole
Yizhe Zhu
56
27
0
16 Nov 2018
Minimax Rates in Network Analysis: Graphon Estimation, Community
  Detection and Hypothesis Testing
Minimax Rates in Network Analysis: Graphon Estimation, Community Detection and Hypothesis Testing
Chao Gao
Zongming Ma
370
35
0
14 Nov 2018
Learning from Binary Multiway Data: Probabilistic Tensor Decomposition
  and its Statistical Optimality
Learning from Binary Multiway Data: Probabilistic Tensor Decomposition and its Statistical Optimality
Miaoyan Wang
Lexin Li
87
35
0
13 Nov 2018
Broadcasting on Random Directed Acyclic Graphs
Broadcasting on Random Directed Acyclic Graphs
A. Makur
Elchanan Mossel
Yury Polyanskiy
123
21
0
07 Nov 2018
Mixing Time of Metropolis-Hastings for Bayesian Community Detection
Mixing Time of Metropolis-Hastings for Bayesian Community Detection
Bumeng Zhuo
Chao Gao
65
5
0
06 Nov 2018
Nonparametric identification in the dynamic stochastic block model
Nonparametric identification in the dynamic stochastic block model
A. Becker
H. Holzmann
38
2
0
02 Nov 2018
Modified Multidimensional Scaling and High Dimensional Clustering
Xiucai Ding
Qiang Sun
57
4
0
24 Oct 2018
Asymptotic uncertainty quantification for communities in sparse planted
  bi-section models
Asymptotic uncertainty quantification for communities in sparse planted bi-section models
B. Kleijn
J. van Waaij
91
0
0
22 Oct 2018
Testing Community Structures for Hypergraphs
Testing Community Structures for Hypergraphs
Mingao Yuan
Ruiqi Liu
Yang Feng
Zuofeng Shang
39
17
0
10 Oct 2018
Adapting to Unknown Noise Distribution in Matrix Denoising
Adapting to Unknown Noise Distribution in Matrix Denoising
Andrea Montanari
Feng Ruan
Jun Yan
100
13
0
06 Oct 2018
Hierarchical community detection by recursive partitioning
Hierarchical community detection by recursive partitioning
Tianxi Li
Lihua Lei
Sharmodeep Bhattacharyya
Koen Van den Berge
Purnamrita Sarkar
Peter J. Bickel
Elizaveta Levina
104
78
0
02 Oct 2018
Convex Relaxation Methods for Community Detection
Convex Relaxation Methods for Community Detection
Xiaodong Li
Yudong Chen
Jiaming Xu
131
51
0
30 Sep 2018
Weak detection in the spiked Wigner model
Weak detection in the spiked Wigner model
Hye Won Chung
J. Lee
27
6
0
28 Sep 2018
Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview
Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview
Yuejie Chi
Yue M. Lu
Yuxin Chen
73
427
0
25 Sep 2018
Partial Recovery of Erdős-Rényi Graph Alignment via $k$-Core
  Alignment
Partial Recovery of Erdős-Rényi Graph Alignment via kkk-Core Alignment
Daniel Cullina
Negar Kiyavash
Prateek Mittal
H. Vincent Poor
138
52
0
10 Sep 2018
Blind Community Detection from Low-rank Excitations of a Graph Filter
Blind Community Detection from Low-rank Excitations of a Graph Filter
Hoi-To Wai
Santiago Segarra
Asuman E. Ozdaglar
Anna Scaglione
Ali Jadbabaie
140
45
0
05 Sep 2018
On spectral embedding performance and elucidating network structure in
  stochastic block model graphs
On spectral embedding performance and elucidating network structure in stochastic block model graphs
Joshua Cape
M. Tang
Carey E. Priebe
50
23
0
14 Aug 2018
Robust high dimensional factor models with applications to statistical
  machine learning
Robust high dimensional factor models with applications to statistical machine learning
Jianqing Fan
Kaizheng Wang
Yiqiao Zhong
Ziwei Zhu
86
55
0
12 Aug 2018
Contextual Stochastic Block Models
Contextual Stochastic Block Models
Y. Deshpande
Andrea Montanari
Elchanan Mossel
S. Sen
166
159
0
23 Jul 2018
Partial recovery bounds for clustering with the relaxed $K$means
Partial recovery bounds for clustering with the relaxed KKKmeans
Christophe Giraud
Nicolas Verzélen
258
60
0
19 Jul 2018
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
36
11
0
12 Jul 2018
Stochastic Block Model for Hypergraphs: Statistical limits and a
  semidefinite programming approach
Stochastic Block Model for Hypergraphs: Statistical limits and a semidefinite programming approach
Chiheon Kim
Afonso S. Bandeira
M. Goemans
77
55
0
08 Jul 2018
Certifying Global Optimality of Graph Cuts via Semidefinite Relaxation:
  A Performance Guarantee for Spectral Clustering
Certifying Global Optimality of Graph Cuts via Semidefinite Relaxation: A Performance Guarantee for Spectral Clustering
Shuyang Ling
Thomas Strohmer
54
19
0
29 Jun 2018
Towards Optimal Estimation of Bivariate Isotonic Matrices with Unknown
  Permutations
Towards Optimal Estimation of Bivariate Isotonic Matrices with Unknown Permutations
Cheng Mao
A. Pananjady
Martin J. Wainwright
57
14
0
25 Jun 2018
Reducibility and Computational Lower Bounds for Problems with Planted
  Sparse Structure
Reducibility and Computational Lower Bounds for Problems with Planted Sparse Structure
Matthew Brennan
Guy Bresler
Wasim Huleihel
134
110
0
19 Jun 2018
A theory of maximum likelihood for weighted infection graphs
A theory of maximum likelihood for weighted infection graphs
Justin Khim
Po-Ling Loh
28
9
0
13 Jun 2018
Smoothed analysis of the low-rank approach for smooth semidefinite
  programs
Smoothed analysis of the low-rank approach for smooth semidefinite programs
Thomas Pumir
Samy Jelassi
Nicolas Boumal
111
27
0
11 Jun 2018
An Information-Percolation Bound for Spin Synchronization on General
  Graphs
An Information-Percolation Bound for Spin Synchronization on General Graphs
Emmanuel Abbe
E. Boix
58
8
0
08 Jun 2018
Online Influence Maximization with Local Observations
Online Influence Maximization with Local Observations
Julia Olkhovskaya
Gergely Neu
Gábor Lugosi
64
7
0
28 May 2018
Gradient Coding via the Stochastic Block Model
Gradient Coding via the Stochastic Block Model
Zachary B. Charles
Dimitris Papailiopoulos
57
16
0
25 May 2018
Hypergraph Spectral Clustering in the Weighted Stochastic Block Model
Hypergraph Spectral Clustering in the Weighted Stochastic Block Model
Kwangjun Ahn
Kangwook Lee
Changho Suh
76
65
0
23 May 2018
Distributed Community Detection via Metastability of the 2-Choices
  Dynamics
Distributed Community Detection via Metastability of the 2-Choices Dynamics
Emilio Cruciani
Emanuele Natale
Giacomo Scornavacca
58
15
0
03 May 2018
Found Graph Data and Planted Vertex Covers
Found Graph Data and Planted Vertex Covers
Austin R. Benson
Jon M. Kleinberg
GNN
58
13
0
03 May 2018
On the Estimation of Latent Distances Using Graph Distances
On the Estimation of Latent Distances Using Graph Distances
E. Arias-Castro
Antoine Channarond
Bruno Pelletier
Nicolas Verzélen
58
15
0
27 Apr 2018
Block-Structure Based Time-Series Models For Graph Sequences
Block-Structure Based Time-Series Models For Graph Sequences
Mehrnaz Amjadi
Theja Tulabandhula
141
3
0
24 Apr 2018
Strong consistency of Krichevsky-Trofimov estimator for the number of
  communities in the Stochastic Block Model
Strong consistency of Krichevsky-Trofimov estimator for the number of communities in the Stochastic Block Model
Andressa Cerqueira
Florencia Leonardi
34
6
0
10 Apr 2018
Graph Convolutional Neural Networks via Scattering
Graph Convolutional Neural Networks via Scattering
Dongmian Zou
Gilad Lerman
GNN
71
123
0
31 Mar 2018
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