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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 network community detection method with integration of data from
  multiple layers and node attributes
A network community detection method with integration of data from multiple layers and node attributes
H. Reittu
Lasse Leskelä
Tomi D. Räty
58
2
0
22 May 2023
Bounded Projection Matrix Approximation with Applications to Community
  Detection
Bounded Projection Matrix Approximation with Applications to Community Detection
Zheng Zhai
Hengchao Chen
Qiang Sun
33
2
0
21 May 2023
Reaching Kesten-Stigum Threshold in the Stochastic Block Model under
  Node Corruptions
Reaching Kesten-Stigum Threshold in the Stochastic Block Model under Node Corruptions
Jingqiu Ding
Tommaso dÓrsi
Yiding Hua
David Steurer
70
6
0
17 May 2023
Fair Information Spread on Social Networks with Community Structure
Fair Information Spread on Social Networks with Community Structure
O. Mesner
Elizaveta Levina
Ji Zhu
FaML
51
0
0
15 May 2023
An Overview of Asymptotic Normality in Stochastic Blockmodels: Cluster
  Analysis and Inference
An Overview of Asymptotic Normality in Stochastic Blockmodels: Cluster Analysis and Inference
Joshua Agterberg
Joshua Cape
66
1
0
10 May 2023
Revisiting Robustness in Graph Machine Learning
Revisiting Robustness in Graph Machine Learning
Lukas Gosch
Daniel Sturm
Simon Geisler
Stephan Günnemann
AAMLOOD
142
23
0
01 May 2023
Spectral clustering in the Gaussian mixture block model
Spectral clustering in the Gaussian mixture block model
Shuangping Li
T. Schramm
90
8
0
29 Apr 2023
Strong Consistency Guarantees for Clustering High-Dimensional Bipartite
  Graphs with the Spectral Method
Strong Consistency Guarantees for Clustering High-Dimensional Bipartite Graphs with the Spectral Method
Guillaume Braun
87
2
0
14 Apr 2023
Graphon Estimation in bipartite graphs with observable edge labels and
  unobservable node labels
Graphon Estimation in bipartite graphs with observable edge labels and unobservable node labels
Etienne Donier-Meroz
A. Dalalyan
F. Kramarz
Philippe Choné
Xavier d'Haultfoeuille
40
3
0
07 Apr 2023
A non-backtracking method for long matrix and tensor completion
A non-backtracking method for long matrix and tensor completion
Ludovic Stephan
Yizhe Zhu
127
7
0
04 Apr 2023
The Graphical Nadaraya-Watson Estimator on Latent Position Models
The Graphical Nadaraya-Watson Estimator on Latent Position Models
M. Gjorgjevski
22
1
0
30 Mar 2023
Neural-prior stochastic block model
Neural-prior stochastic block model
O. Duranthon
L. Zdeborová
128
3
0
17 Mar 2023
A pseudo-likelihood approach to community detection in weighted networks
A pseudo-likelihood approach to community detection in weighted networks
Andressa Cerqueira
Elizaveta Levina
96
3
0
10 Mar 2023
Massively Parallel Computation in a Heterogeneous Regime
Massively Parallel Computation in a Heterogeneous Regime
Orr Fischer
A. Horowitz
R. Oshman
61
2
0
28 Feb 2023
Matching Correlated Inhomogeneous Random Graphs using the $k$-core
  Estimator
Matching Correlated Inhomogeneous Random Graphs using the kkk-core Estimator
Miklós Z. Rácz
Anirudh Sridhar
48
9
0
10 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
52
2
0
07 Feb 2023
Planted Bipartite Graph Detection
Planted Bipartite Graph Detection
Asaf Rotenberg
Wasim Huleihel
O. Shayevitz
34
0
0
07 Feb 2023
Mismatched estimation of non-symmetric rank-one matrices corrupted by
  structured noise
Mismatched estimation of non-symmetric rank-one matrices corrupted by structured noise
Teng Fu
Yuhao Liu
Jean Barbier
Marco Mondelli
Shansuo Liang
Tianqi Hou
51
1
0
07 Feb 2023
Multilayer hypergraph clustering using the aggregate similarity matrix
Multilayer hypergraph clustering using the aggregate similarity matrix
Kalle Alaluusua
Konstantin Avrachenkov
B. K. Shreyamsha Kumar
Lasse Leskelä
68
4
0
27 Jan 2023
Fundamental Limits of Spectral Clustering in Stochastic Block Models
Fundamental Limits of Spectral Clustering in Stochastic Block Models
An Zhang
71
5
0
23 Jan 2023
Graph Encoder Ensemble for Simultaneous Vertex Embedding and Community
  Detection
Graph Encoder Ensemble for Simultaneous Vertex Embedding and Community Detection
Cencheng Shen
Youngser Park
Carey E. Priebe
86
9
0
18 Jan 2023
A Bayesian Nonparametric Stochastic Block Model for Directed Acyclic
  Graphs
A Bayesian Nonparametric Stochastic Block Model for Directed Acyclic Graphs
Clement D Lee
Marco Battiston
68
0
0
18 Jan 2023
Detection problems in the spiked matrix models
Detection problems in the spiked matrix models
Ji Hyung Jung
Hye Won Chung
J. Lee
115
2
0
12 Jan 2023
Variational Inference: Posterior Threshold Improves Network Clustering
  Accuracy in Sparse Regimes
Variational Inference: Posterior Threshold Improves Network Clustering Accuracy in Sparse Regimes
Xuezhen Li
Can M. Le
90
0
0
12 Jan 2023
Private estimation algorithms for stochastic block models and mixture
  models
Private estimation algorithms for stochastic block models and mixture models
Hongjie Chen
Vincent Cohen-Addad
Tommaso dÓrsi
Alessandro Epasto
Jacob Imola
David Steurer
Stefan Tiegel
FedML
87
21
0
11 Jan 2023
Community Detection with Known, Unknown, or Partially Known Auxiliary
  Latent Variables
Community Detection with Known, Unknown, or Partially Known Auxiliary Latent Variables
Mohammadjafar Esmaeili
Aria Nosratinia
95
3
0
08 Jan 2023
A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks
A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks
Xinyi Wu
Zhengdao Chen
W. Wang
Ali Jadbabaie
111
45
0
21 Dec 2022
Is it easier to count communities than find them?
Is it easier to count communities than find them?
Cynthia Rush
Fiona Skerman
Alexander S. Wein
Dana Yang
33
10
0
21 Dec 2022
Bridging Graph Position Encodings for Transformers with Weighted
  Graph-Walking Automata
Bridging Graph Position Encodings for Transformers with Weighted Graph-Walking Automata
Patrick M. Soga
David Chiang
132
0
0
13 Dec 2022
Exact Phase Transitions for Stochastic Block Models and Reconstruction
  on Trees
Exact Phase Transitions for Stochastic Block Models and Reconstruction on Trees
Elchanan Mossel
Allan Sly
Youngtak Sohn
83
14
0
06 Dec 2022
Semi-supervised Local Cluster Extraction by Compressive Sensing
Semi-supervised Local Cluster Extraction by Compressive Sensing
Zhaiming Shen
Ming-Jun Lai
Sheng Li
42
3
0
20 Nov 2022
GRATIS: Deep Learning Graph Representation with Task-specific Topology
  and Multi-dimensional Edge Features
GRATIS: Deep Learning Graph Representation with Task-specific Topology and Multi-dimensional Edge Features
Siyang Song
Yuxin Song
Cheng Luo
Zhiyuan Song
Selim Kuzucu
Xi Jia
Zhijiang Guo
Weicheng Xie
Linlin Shen
Hatice Gunes
64
25
0
19 Nov 2022
New Frontiers in Graph Autoencoders: Joint Community Detection and Link
  Prediction
New Frontiers in Graph Autoencoders: Joint Community Detection and Link Prediction
Guillaume Salha-Galvan
J. Lutzeyer
George Dasoulas
Romain Hennequin
Michalis Vazirgiannis
55
2
0
16 Nov 2022
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
85
5
0
06 Nov 2022
Bipartite mixed membership distribution-free model. A novel model for
  community detection in overlapping bipartite weighted networks
Bipartite mixed membership distribution-free model. A novel model for community detection in overlapping bipartite weighted networks
Huan Qing
Jingli Wang
64
9
0
02 Nov 2022
SIMPLE-RC: Group Network Inference with Non-Sharp Nulls and Weak Signals
SIMPLE-RC: Group Network Inference with Non-Sharp Nulls and Weak Signals
Jianqing Fan
Yingying Fan
Jinchi Lv
Fan Yang
114
3
0
31 Oct 2022
Transformers meet Stochastic Block Models: Attention with Data-Adaptive
  Sparsity and Cost
Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost
Sungjun Cho
Seonwoo Min
Jinwoo Kim
Moontae Lee
Honglak Lee
Seunghoon Hong
80
3
0
27 Oct 2022
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
61
1
0
27 Oct 2022
Hypergraph Artificial Benchmark for Community Detection (h-ABCD)
Hypergraph Artificial Benchmark for Community Detection (h-ABCD)
Bogumil Kamiñski
P. Prałat
F. Théberge
56
17
0
26 Oct 2022
Fast Community Detection in Dynamic and Heterogeneous Networks
Fast Community Detection in Dynamic and Heterogeneous Networks
Maoyu Zhang
Jingfei Zhang
Wenlin Dai
39
2
0
24 Oct 2022
DeGroot-based opinion formation under a global steering mechanism
DeGroot-based opinion formation under a global steering mechanism
Ivan Conjeaud
Philipp Lorenz-Spreen
Argyris Kalogeratos
78
4
0
21 Oct 2022
Overlapping Community Detection using Dynamic Dilated Aggregation in Deep Residual GCN
Md Nurul Muttakin
Md. Iqbal Hossain
Md Saidur Rahman
GNN
93
2
0
20 Oct 2022
On Classification Thresholds for Graph Attention with Edge Features
On Classification Thresholds for Graph Attention with Edge Features
Kimon Fountoulakis
Dake He
Silvio Lattanzi
Bryan Perozzi
Anton Tsitsulin
Shenghao Yang
GNN
99
6
0
18 Oct 2022
Estimation of the Sample Frechet Mean: A Convolutional Neural Network
  Approach
Estimation of the Sample Frechet Mean: A Convolutional Neural Network Approach
A. Sánchez
Franccois G. Meyer
44
0
0
13 Oct 2022
A Framework for Large Scale Synthetic Graph Dataset Generation
A Framework for Large Scale Synthetic Graph Dataset Generation
Sajad Darabi
P. Bigaj
Dawid Majchrowski
Artur Kasymov
Pawel M. Morkisz
A. Fit-Florea
106
4
0
04 Oct 2022
Bayes-optimal limits in structured PCA, and how to reach them
Bayes-optimal limits in structured PCA, and how to reach them
Jean Barbier
Francesco Camilli
Marco Mondelli
Manuel Sáenz
59
5
0
03 Oct 2022
Trading off Quality for Efficiency of Community Detection: An Inductive
  Method across Graphs
Trading off Quality for Efficiency of Community Detection: An Inductive Method across Graphs
Meng Qin
Chao Zhang
Bo Bai
Gong Zhang
Dit-Yan Yeung
54
2
0
29 Sep 2022
Consensus Knowledge Graph Learning via Multi-view Sparse Low Rank Block
  Model
Consensus Knowledge Graph Learning via Multi-view Sparse Low Rank Block Model
Tianxi Cai
Dong Xia
Luwan Zhang
D. Zhou
47
1
0
28 Sep 2022
From Local to Global: Spectral-Inspired Graph Neural Networks
From Local to Global: Spectral-Inspired Graph Neural Networks
Ningyuan Huang
Soledad Villar
Carey E. Priebe
Da Zheng
Cheng-Fu Huang
Lin F. Yang
Vladimir Braverman
93
15
0
24 Sep 2022
Detecting Planted Partition in Sparse Multi-Layer Networks
Detecting Planted Partition in Sparse Multi-Layer Networks
Anirban Chatterjee
Sagnik Nandy
Ritwik Sadhu
98
1
0
15 Sep 2022
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