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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
Outliers Detection in Networks with Missing Links
Outliers Detection in Networks with Missing Links
Solenne Gaucher
Olga Klopp
Geneviève Robin
47
0
0
29 Nov 2019
Sparse random tensors: Concentration, regularization and applications
Sparse random tensors: Concentration, regularization and applications
Zhixin Zhou
Yizhe Zhu
38
12
0
20 Nov 2019
Active learning in the geometric block model
Active learning in the geometric block model
Eli Chien
A. Tulino
Jaime Llorca
14
7
0
15 Nov 2019
Multilateration of Random Networks with Community Structure
Multilateration of Random Networks with Community Structure
Richard D. Tillquist
M. Lladser
15
2
0
04 Nov 2019
Clustering in Partially Labeled Stochastic Block Models via Total
  Variation Minimization
Clustering in Partially Labeled Stochastic Block Models via Total Variation Minimization
A. Jung
37
4
0
03 Nov 2019
Supervised tensor decomposition with features on multiple modes
Supervised tensor decomposition with features on multiple modes
Jiaxin Hu
Chanwoo Lee
Miaoyan Wang
65
10
0
21 Oct 2019
Spectral CUSUM for Online Network Structure Change Detection
Spectral CUSUM for Online Network Structure Change Detection
Minghe Zhang
Liyan Xie
Yao Xie
39
3
0
20 Oct 2019
Optimal Clustering from Noisy Binary Feedback
Optimal Clustering from Noisy Binary Feedback
Kaito Ariu
Jungseul Ok
Alexandre Proutiere
Se-Young Yun
38
2
0
14 Oct 2019
Subspace Estimation from Unbalanced and Incomplete Data Matrices:
  $\ell_{2,\infty}$ Statistical Guarantees
Subspace Estimation from Unbalanced and Incomplete Data Matrices: ℓ2,∞\ell_{2,\infty}ℓ2,∞​ Statistical Guarantees
Changxiao Cai
Gen Li
Yuejie Chi
H. Vincent Poor
Yuxin Chen
102
13
0
09 Oct 2019
SIMPLE: Statistical Inference on Membership Profiles in Large Networks
SIMPLE: Statistical Inference on Membership Profiles in Large Networks
Jianqing Fan
Yingying Fan
Xiao Han
Jinchi Lv
65
43
0
03 Oct 2019
Sparse Popularity Adjusted Stochastic Block Model
Sparse Popularity Adjusted Stochastic Block Model
M. Noroozi
Marianna Pensky
R. Rimal
55
8
0
03 Oct 2019
Overlapping Community Detection with Graph Neural Networks
Overlapping Community Detection with Graph Neural Networks
Oleksandr Shchur
Stephan Günnemann
GNN
75
132
0
26 Sep 2019
Testing for Association in Multi-View Network Data
Testing for Association in Multi-View Network Data
Lucy L. Gao
Daniela Witten
Jacob Bien
46
8
0
25 Sep 2019
Regular Partitions and Their Use in Structural Pattern Recognition
Regular Partitions and Their Use in Structural Pattern Recognition
M. Fiorucci
14
0
0
16 Sep 2019
Unified $\ell_{2\rightarrow\infty}$ Eigenspace Perturbation Theory for
  Symmetric Random Matrices
Unified ℓ2→∞\ell_{2\rightarrow\infty}ℓ2→∞​ Eigenspace Perturbation Theory for Symmetric Random Matrices
Lihua Lei
56
9
0
11 Sep 2019
Detecting a planted community in an inhomogeneous random graph
Detecting a planted community in an inhomogeneous random graph
K. Bogerd
Rui M. Castro
R. Hofstad
Nicolas Verzélen
18
3
0
07 Sep 2019
Student Performance Prediction with Optimum Multilabel Ensemble Model
Student Performance Prediction with Optimum Multilabel Ensemble Model
Ephrem Admasu Yekun
Abrahaley Teklay
30
8
0
06 Sep 2019
The Overlap Gap Property in Principal Submatrix Recovery
The Overlap Gap Property in Principal Submatrix Recovery
D. Gamarnik
Aukosh Jagannath
S. Sen
62
29
0
26 Aug 2019
CHIP: A Hawkes Process Model for Continuous-time Networks with Scalable
  and Consistent Estimation
CHIP: A Hawkes Process Model for Continuous-time Networks with Scalable and Consistent Estimation
Makan Arastuie
Subhadeep Paul
Kevin S. Xu
140
2
0
19 Aug 2019
Spectral inference for large Stochastic Blockmodels with nodal
  covariates
Spectral inference for large Stochastic Blockmodels with nodal covariates
A. Mele
Lingxin Hao
Joshua Cape
Carey E. Priebe
141
20
0
18 Aug 2019
Experimental performance of graph neural networks on random instances of
  max-cut
Experimental performance of graph neural networks on random instances of max-cut
Weichi Yao
Afonso S. Bandeira
Soledad Villar
92
38
0
15 Aug 2019
Subsampling Sparse Graphons Under Minimal Assumptions
Subsampling Sparse Graphons Under Minimal Assumptions
Robert Lunde
Purnamrita Sarkar
57
21
0
29 Jul 2019
A Theoretical Case Study of Structured Variational Inference for
  Community Detection
A Theoretical Case Study of Structured Variational Inference for Community Detection
Mingzhang Yin
Y. X. R. Wang
Purnamrita Sarkar
44
8
0
29 Jul 2019
Subexponential-Time Algorithms for Sparse PCA
Subexponential-Time Algorithms for Sparse PCA
Yunzi Ding
Dmitriy Kunisky
Alexander S. Wein
Afonso S. Bandeira
172
62
0
26 Jul 2019
Theory of Spectral Method for Union of Subspaces-Based Random Geometry
  Graph
Theory of Spectral Method for Union of Subspaces-Based Random Geometry Graph
Gen Li
Yuantao Gu
68
3
0
25 Jul 2019
Bootstrapping Networks with Latent Space Structure
Bootstrapping Networks with Latent Space Structure
Keith D. Levin
Elizaveta Levina
80
34
0
25 Jul 2019
Concentration of the matrix-valued minimum mean-square error in optimal
  Bayesian inference
Concentration of the matrix-valued minimum mean-square error in optimal Bayesian inference
Jean Barbier
39
1
0
15 Jul 2019
The Geometry of Community Detection via the MMSE Matrix
The Geometry of Community Detection via the MMSE Matrix
Galen Reeves
Vaishakhi Mayya
A. Volfovsky
62
15
0
04 Jul 2019
Understanding Phase Transitions via Mutual Information and MMSE
Understanding Phase Transitions via Mutual Information and MMSE
Galen Reeves
H. Pfister
52
8
0
03 Jul 2019
missSBM: An R Package for Handling Missing Values in the Stochastic
  Block Model
missSBM: An R Package for Handling Missing Values in the Stochastic Block Model
P. Barbillon
J. Chiquet
Timothée Tabouy
53
2
0
28 Jun 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
75
117
0
24 Jun 2019
Statistical guarantees for local graph clustering
Statistical guarantees for local graph clustering
Wooseok Ha
Kimon Fountoulakis
Michael W. Mahoney
65
10
0
11 Jun 2019
Multiway clustering via tensor block models
Multiway clustering via tensor block models
Miaoyan Wang
Yuchen Zeng
57
42
0
10 Jun 2019
Vertex Classification on Weighted Networks
Vertex Classification on Weighted Networks
Hayden Helm
Joshua T. Vogelstein
Carey Priebe
23
0
0
07 Jun 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
47
34
0
22 May 2019
Unsupervised Community Detection with Modularity-Based Attention Model
Unsupervised Community Detection with Modularity-Based Attention Model
Ivan Lobov
Sergey Ivanov
46
11
0
20 May 2019
Uniform bounds for invariant subspace perturbations
Uniform bounds for invariant subspace perturbations
Anil Damle
Yuekai Sun
56
22
0
20 May 2019
Pair-Matching: Links Prediction with Adaptive Queries
Pair-Matching: Links Prediction with Adaptive Queries
Christophe Giraud
Yann Issartel
Luc Lehéricy
M. Lerasle
25
2
0
17 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
47
33
0
15 May 2019
Planted Hitting Set Recovery in Hypergraphs
Planted Hitting Set Recovery in Hypergraphs
Ilya Amburg
Jon M. Kleinberg
Austin R. Benson
31
14
0
14 May 2019
Integrating Tensor Similarity to Enhance Clustering Performance
Integrating Tensor Similarity to Enhance Clustering Performance
Hong Peng
Yu Hu
Jiazhou Chen
Haiyan Wang
Yang Li
Hongmin Cai
28
16
0
10 May 2019
Spectral partitioning of time-varying networks with unobserved edges
Spectral partitioning of time-varying networks with unobserved edges
Michael T. Schaub
Santiago Segarra
Hoi-To Wai
45
10
0
26 Apr 2019
Achieving the Bayes Error Rate in Synchronization and Block Models by
  SDP, Robustly
Achieving the Bayes Error Rate in Synchronization and Block Models by SDP, Robustly
Yingjie Fei
Yudong Chen
271
24
0
21 Apr 2019
Efficient Distributed Community Detection in the Stochastic Block Model
Efficient Distributed Community Detection in the Stochastic Block Model
Reza Fathi
A. R. Molla
Gopal Pandurangan
61
8
0
16 Apr 2019
The Landscape of the Planted Clique Problem: Dense subgraphs and the
  Overlap Gap Property
The Landscape of the Planted Clique Problem: Dense subgraphs and the Overlap Gap Property
D. Gamarnik
Ilias Zadik
36
40
0
15 Apr 2019
Community detection in the sparse hypergraph stochastic block model
Community detection in the sparse hypergraph stochastic block model
Soumik Pal
Yizhe Zhu
69
35
0
11 Apr 2019
Efficient Distributed Workload (Re-)Embedding
Efficient Distributed Workload (Re-)Embedding
Monika Henzinger
S. Neumann
Stefan Schmid
16
21
0
10 Apr 2019
Bayesian estimation of the latent dimension and communities in
  stochastic blockmodels
Bayesian estimation of the latent dimension and communities in stochastic blockmodels
Francesco Sanna Passino
N. Heard
BDL
51
25
0
06 Apr 2019
On the computational tractability of statistical estimation on amenable
  graphs
On the computational tractability of statistical estimation on amenable graphs
Ahmed El Alaoui
Andrea Montanari
32
6
0
05 Apr 2019
Localized Linear Regression in Networked Data
Localized Linear Regression in Networked Data
A. Jung
Nguyen Tran
50
27
0
26 Mar 2019
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