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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
An $\ell_p$ theory of PCA and spectral clustering
An ℓp\ell_pℓp​ theory of PCA and spectral clustering
Emmanuel Abbe
Jianqing Fan
Kaizheng Wang
57
5
0
24 Jun 2020
Estimation of dense stochastic block models visited by random walks
Estimation of dense stochastic block models visited by random walks
V. Tran
Thi Thuy Anh Vo
21
0
0
14 Jun 2020
Adaptive Universal Generalized PageRank Graph Neural Network
Adaptive Universal Generalized PageRank Graph Neural Network
Eli Chien
Jianhao Peng
Pan Li
O. Milenkovic
294
747
0
14 Jun 2020
Global Attention Improves Graph Networks Generalization
Global Attention Improves Graph Networks Generalization
Omri Puny
Heli Ben-Hamu
Y. Lipman
64
22
0
14 Jun 2020
Learning Sparse Graphons and the Generalized Kesten-Stigum Threshold
Learning Sparse Graphons and the Generalized Kesten-Stigum Threshold
Emmanuel Abbe
Shuangping Li
Allan Sly
17
5
0
13 Jun 2020
An empirical Bayes Approach to stochastic blockmodels and graphons:
  shrinkage estimation and model selection
An empirical Bayes Approach to stochastic blockmodels and graphons: shrinkage estimation and model selection
Zhanhao Peng
Qing Zhou
11
0
0
12 Jun 2020
Robust Multi-object Matching via Iterative Reweighting of the Graph
  Connection Laplacian
Robust Multi-object Matching via Iterative Reweighting of the Graph Connection Laplacian
Yunpeng Shi
Shaohan Li
Gilad Lerman
47
12
0
11 Jun 2020
Manifold structure in graph embeddings
Manifold structure in graph embeddings
Patrick Rubin-Delanchy
75
25
0
09 Jun 2020
MC2G: An Efficient Algorithm for Matrix Completion with Social and Item
  Similarity Graphs
MC2G: An Efficient Algorithm for Matrix Completion with Social and Item Similarity Graphs
Q. Zhang
Geewon Suh
Changho Suh
Vincent Y. F. Tan
48
15
0
08 Jun 2020
Universal Graph Compression: Stochastic Block Models
Universal Graph Compression: Stochastic Block Models
Alankrita Bhatt
Ziao Wang
Chi Wang
Lele Wang
18
6
0
04 Jun 2020
Community detection in sparse time-evolving graphs with a dynamical
  Bethe-Hessian
Community detection in sparse time-evolving graphs with a dynamical Bethe-Hessian
Lorenzo DallÁmico
Romain Couillet
Nicolas M Tremblay
56
11
0
03 Jun 2020
Convergence and Stability of Graph Convolutional Networks on Large
  Random Graphs
Convergence and Stability of Graph Convolutional Networks on Large Random Graphs
Nicolas Keriven
A. Bietti
Samuel Vaiter
GNN
71
87
0
02 Jun 2020
Interpretable Stochastic Block Influence Model: measuring social
  influence among homophilous communities
Interpretable Stochastic Block Influence Model: measuring social influence among homophilous communities
Yan Leng
Tara Sowrirajan
Alex Pentland
31
3
0
01 Jun 2020
Convergence Analysis of Riemannian Stochastic Approximation Schemes
Convergence Analysis of Riemannian Stochastic Approximation Schemes
Alain Durmus
P. Jiménez
Eric Moulines
Salem Said
Hoi-To Wai
54
10
0
27 May 2020
Information-Theoretic Limits for the Matrix Tensor Product
Information-Theoretic Limits for the Matrix Tensor Product
Galen Reeves
74
30
0
22 May 2020
Reducibility and Statistical-Computational Gaps from Secret Leakage
Reducibility and Statistical-Computational Gaps from Secret Leakage
Matthew Brennan
Guy Bresler
92
91
0
16 May 2020
Neural Stochastic Block Model & Scalable Community-Based Graph Learning
Neural Stochastic Block Model & Scalable Community-Based Graph Learning
Zheng Chen
Xinli Yu
Yuan Ling
Xiaohua Hu
25
1
0
16 May 2020
Uncertainty quantification in the stochastic block model with an unknown
  number of classes
Uncertainty quantification in the stochastic block model with an unknown number of classes
J. van Waaij
B. Kleijn
38
2
0
04 May 2020
Consistency of Spectral Clustering on Hierarchical Stochastic Block
  Models
Consistency of Spectral Clustering on Hierarchical Stochastic Block Models
Lihua Lei
Xiaodong Li
Xingmei Lou
36
19
0
30 Apr 2020
Randomized spectral co-clustering for large-scale directed networks
Randomized spectral co-clustering for large-scale directed networks
Xiao Guo
Yixuan Qiu
Hai Zhang
Xiangyu Chang
51
14
0
25 Apr 2020
Assortative-Constrained Stochastic Block Models
Assortative-Constrained Stochastic Block Models
Daniel Gribel
Thibaut Vidal
M. Gendreau
32
2
0
21 Apr 2020
Strong Consistency, Graph Laplacians, and the Stochastic Block Model
Strong Consistency, Graph Laplacians, and the Stochastic Block Model
Shaofeng Deng
Shuyang Ling
Thomas Strohmer
34
29
0
21 Apr 2020
Identifiability and consistency of network inference using the hub model
  and variants
Identifiability and consistency of network inference using the hub model and variants
Yunpeng Zhao
Peter J. Bickel
Charles Weko
24
3
0
21 Apr 2020
Flow-based Algorithms for Improving Clusters: A Unifying Framework,
  Software, and Performance
Flow-based Algorithms for Improving Clusters: A Unifying Framework, Software, and Performance
Kimon Fountoulakis
M. Liu
D. Gleich
Michael W. Mahoney
65
11
0
20 Apr 2020
Provable Overlapping Community Detection in Weighted Graphs
Provable Overlapping Community Detection in Weighted Graphs
Jimit Majmudar
S. Vavasis
14
4
0
15 Apr 2020
Edgeworth expansions for network moments
Edgeworth expansions for network moments
Yuan Zhang
Dong Xia
84
26
0
14 Apr 2020
Exact recovery and sharp thresholds of Stochastic Ising Block Model
Exact recovery and sharp thresholds of Stochastic Ising Block Model
Min Ye
33
2
0
13 Apr 2020
Reliable Time Prediction in the Markov Stochastic Block Model
Reliable Time Prediction in the Markov Stochastic Block Model
Quentin Duchemin
25
2
0
09 Apr 2020
General Community Detection with Optimal Recovery Conditions for
  Multi-relational Sparse Networks with Dependent Layers
General Community Detection with Optimal Recovery Conditions for Multi-relational Sparse Networks with Dependent Layers
Sharmodeep Bhattacharyya
Sabyasachi Chatterjee
56
14
0
06 Apr 2020
Orthogonal Inductive Matrix Completion
Orthogonal Inductive Matrix Completion
Antoine Ledent
Rodrigo Alves
Marius Kloft
47
14
0
03 Apr 2020
The impossibility of low rank representations for triangle-rich complex
  networks
The impossibility of low rank representations for triangle-rich complex networks
C. Seshadhri
Aneesh Sharma
Andrew Stolman
Ashish Goel
GNN
89
67
0
27 Mar 2020
Robust Hypergraph Clustering via Convex Relaxation of Truncated MLE
Robust Hypergraph Clustering via Convex Relaxation of Truncated MLE
Jeonghwa Lee
Daesung Kim
Hye Won Chung
77
14
0
23 Mar 2020
Spectral Clustering Revisited: Information Hidden in the Fiedler Vector
Spectral Clustering Revisited: Information Hidden in the Fiedler Vector
Adela DePavia
Stefan Steinerberger
52
8
0
22 Mar 2020
Bias-adjusted spectral clustering in multi-layer stochastic block models
Bias-adjusted spectral clustering in multi-layer stochastic block models
Jing Lei
K. Lin
89
51
0
18 Mar 2020
Discrete-Valued Latent Preference Matrix Estimation with Graph Side
  Information
Discrete-Valued Latent Preference Matrix Estimation with Graph Side Information
Changhun Jo
Kangwook Lee
56
6
0
16 Mar 2020
Diffusion State Distances: Multitemporal Analysis, Fast Algorithms, and
  Applications to Biological Networks
Diffusion State Distances: Multitemporal Analysis, Fast Algorithms, and Applications to Biological Networks
L. Cowen
K. Devkota
Xiaozhe Hu
James M. Murphy
Kaiyi Wu
26
5
0
07 Mar 2020
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
607
955
0
02 Mar 2020
Assortativity and bidegree distributions on Bernoulli random graph
  superpositions
Assortativity and bidegree distributions on Bernoulli random graph superpositions
M. Bloznelis
Joona Karjalainen
Lasse Leskelä
8
3
0
26 Feb 2020
Sparse and Smooth: improved guarantees for Spectral Clustering in the
  Dynamic Stochastic Block Model
Sparse and Smooth: improved guarantees for Spectral Clustering in the Dynamic Stochastic Block Model
Nicolas Keriven
Samuel Vaiter
142
13
0
07 Feb 2020
The Hierarchy of Block Models
The Hierarchy of Block Models
M. Noroozi
Marianna Pensky
86
2
0
07 Feb 2020
FastGAE: Scalable Graph Autoencoders with Stochastic Subgraph Decoding
FastGAE: Scalable Graph Autoencoders with Stochastic Subgraph Decoding
Guillaume Salha-Galvan
Romain Hennequin
Jean-Baptiste Remy
Manuel Moussallam
Michalis Vazirgiannis
GNNBDL
81
6
0
05 Feb 2020
Simultaneous prediction and community detection for networks with
  application to neuroimaging
Simultaneous prediction and community detection for networks with application to neuroimaging
Jesús Arroyo
Elizaveta Levina
37
5
0
05 Feb 2020
Randomized Spectral Clustering in Large-Scale Stochastic Block Models
Randomized Spectral Clustering in Large-Scale Stochastic Block Models
Hai Zhang
Xiao Guo
Xiangyu Chang
115
24
0
20 Jan 2020
Weak Detection in the Spiked Wigner Model with General Rank
Weak Detection in the Spiked Wigner Model with General Rank
Ji Hyung Jung
Hye Won Chung
J. Lee
61
14
0
16 Jan 2020
A Block-based Generative Model for Attributed Networks Embedding
A Block-based Generative Model for Attributed Networks Embedding
Xueyan Liu
Bo Yang
Wenzhuo Song
Katarzyna Musial
Wanli Zuo
Hongxu Chen
Hongzhi Yin
BDL
30
0
0
06 Jan 2020
Universal Rank Inference via Residual Subsampling with Application to
  Large Networks
Universal Rank Inference via Residual Subsampling with Application to Large Networks
Xiao Han
Q. Yang
Yingying Fan
CML
58
17
0
25 Dec 2019
Robust Group Synchronization via Cycle-Edge Message Passing
Robust Group Synchronization via Cycle-Edge Message Passing
Gilad Lerman
Yunpeng Shi
78
31
0
24 Dec 2019
Persistent Homology of Graph Embeddings
Vinesh Solanki
Patrick Rubin-Delanchy
Ian Gallagher
59
7
0
21 Dec 2019
Mutual Information in Community Detection with Covariate Information and
  Correlated Networks
Mutual Information in Community Detection with Covariate Information and Correlated Networks
Vaishakhi Mayya
Galen Reeves
65
22
0
11 Dec 2019
Community Detection and Matrix Completion with Social and Item
  Similarity Graphs
Community Detection and Matrix Completion with Social and Item Similarity Graphs
Q. Zhang
Vincent Y. F. Tan
Changho Suh
25
6
0
06 Dec 2019
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