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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 Experimental Study of the Transferability of Spectral Graph Networks
An Experimental Study of the Transferability of Spectral Graph Networks
Axel Nilsson
Xavier Bresson
63
3
0
18 Dec 2020
Exact Clustering in Tensor Block Model: Statistical Optimality and
  Computational Limit
Exact Clustering in Tensor Block Model: Statistical Optimality and Computational Limit
Rungang Han
Yuetian Luo
Miaoyan Wang
Anru R. Zhang
122
39
0
18 Dec 2020
A Generalization of Transformer Networks to Graphs
A Generalization of Transformer Networks to Graphs
Vijay Prakash Dwivedi
Xavier Bresson
AI4CE
115
763
0
17 Dec 2020
Estimating Mixed-Memberships Using the Symmetric Laplacian Inverse
  Matrix
Estimating Mixed-Memberships Using the Symmetric Laplacian Inverse Matrix
Hu Qing
Jingli Wang
33
0
0
17 Dec 2020
Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural
  Networks
Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks
Yuhang Yao
Carlee Joe-Wong
GNN
36
23
0
16 Dec 2020
Spectral Methods for Data Science: A Statistical Perspective
Spectral Methods for Data Science: A Statistical Perspective
Yuxin Chen
Yuejie Chi
Jianqing Fan
Cong Ma
153
173
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
84
22
0
07 Dec 2020
Biclustering and Boolean Matrix Factorization in Data Streams
Biclustering and Boolean Matrix Factorization in Data Streams
S. Neumann
Pauli Miettinen
50
6
0
05 Dec 2020
Global and Individualized Community Detection in Inhomogeneous
  Multilayer Networks
Global and Individualized Community Detection in Inhomogeneous Multilayer Networks
Shuxiao Chen
Sifan Liu
Zongming Ma
77
27
0
02 Dec 2020
Consistency of regularized spectral clustering in degree-corrected mixed
  membership model
Consistency of regularized spectral clustering in degree-corrected mixed membership model
Huan Qing
Jingli Wang
21
0
0
23 Nov 2020
An exact $\sinΘ$ formula for matrix perturbation analysis and its
  applications
An exact sin⁡Θ\sinΘsinΘ formula for matrix perturbation analysis and its applications
He Lyu
Rongrong Wang
24
3
0
16 Nov 2020
Contextual Stochastic Block Model: Sharp Thresholds and Contiguity
Contextual Stochastic Block Model: Sharp Thresholds and Contiguity
Chen Lu
S. Sen
53
22
0
15 Nov 2020
Robustness of Community Detection to Random Geometric Perturbations
Robustness of Community Detection to Random Geometric Perturbations
Sandrine Péché
Vianney Perchet
AAML
27
4
0
09 Nov 2020
Hypothesis testing with low-degree polynomials in the Morris class of
  exponential families
Hypothesis testing with low-degree polynomials in the Morris class of exponential families
Dmitriy Kunisky
37
8
0
07 Nov 2020
Regularized spectral methods for clustering signed networks
Regularized spectral methods for clustering signed networks
Ning Zhang
A. Singh
Déborah Sulem
Hemant Tyagi
63
19
0
03 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
74
29
0
01 Nov 2020
On Graph Neural Networks versus Graph-Augmented MLPs
On Graph Neural Networks versus Graph-Augmented MLPs
Lei Chen
Zhengdao Chen
Joan Bruna
76
46
0
28 Oct 2020
Federated Learning From Big Data Over Networks
Federated Learning From Big Data Over Networks
Y. Sarcheshmehpour
M. Leinonen
A. Jung
FedML
70
17
0
27 Oct 2020
Network topology change-point detection from graph signals with prior
  spectral signatures
Network topology change-point detection from graph signals with prior spectral signatures
Chiraag Kaushik
T. Roddenberry
Santiago Segarra
34
4
0
21 Oct 2020
k-simplex2vec: a simplicial extension of node2vec
k-simplex2vec: a simplicial extension of node2vec
Celia Hacker
57
19
0
12 Oct 2020
Controlling Graph Dynamics with Reinforcement Learning and Graph Neural
  Networks
Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks
E. Meirom
Haggai Maron
Shie Mannor
Gal Chechik
57
49
0
11 Oct 2020
Near-Optimal Comparison Based Clustering
Near-Optimal Comparison Based Clustering
Michaël Perrot
Pascal Esser
Debarghya Ghoshdastidar
43
12
0
08 Oct 2020
Broadcasting on Two-Dimensional Regular Grids
Broadcasting on Two-Dimensional Regular Grids
A. Makur
Elchanan Mossel
Yury Polyanskiy
8
6
0
03 Oct 2020
Linear-Sample Learning of Low-Rank Distributions
Linear-Sample Learning of Low-Rank Distributions
Ayush Jain
A. Orlitsky
BDL
13
1
0
30 Sep 2020
Sketch-based community detection in evolving networks
Sketch-based community detection in evolving networks
Andre Beckus
George Atia
38
1
0
24 Sep 2020
Learning Graph Normalization for Graph Neural Networks
Learning Graph Normalization for Graph Neural Networks
Yihao Chen
Xin Tang
Xianbiao Qi
Chun-Guang Li
Rong Xiao
AI4CE
116
50
0
24 Sep 2020
Higher-Order Spectral Clustering for Geometric Graphs
Higher-Order Spectral Clustering for Geometric Graphs
Konstantin Avrachenkov
Andrei Bobu
Maximilien Dreveton
70
10
0
23 Sep 2020
Recent Developments on Factor Models and its Applications in Econometric
  Learning
Recent Developments on Factor Models and its Applications in Econometric Learning
Jianqing Fan
Kunpeng Li
Yuan Liao
80
16
0
21 Sep 2020
Overlapping community detection in networks via sparse spectral
  decomposition
Overlapping community detection in networks via sparse spectral decomposition
Jesús Arroyo
Elizaveta Levina
80
4
0
20 Sep 2020
Detectability of hierarchical communities in networks
Detectability of hierarchical communities in networks
Leto Peel
Michael T. Schaub
37
4
0
16 Sep 2020
Hierarchical community structure in networks
Hierarchical community structure in networks
Michael T. Schaub
Jiaze Li
Leto Peel
51
20
0
15 Sep 2020
Estimating Rank-One Spikes from Heavy-Tailed Noise via Self-Avoiding
  Walks
Estimating Rank-One Spikes from Heavy-Tailed Noise via Self-Avoiding Walks
Jingqiu Ding
Samuel B. Hopkins
David Steurer
47
10
0
31 Aug 2020
Exact Recovery of Community Detection in k-Community Gaussian Mixture
  Model
Exact Recovery of Community Detection in k-Community Gaussian Mixture Model
Zhongyan Li
67
1
0
29 Aug 2020
Is the space complexity of planted clique recovery the same as that of
  detection?
Is the space complexity of planted clique recovery the same as that of detection?
Jay Mardia
8
1
0
28 Aug 2020
Community recovery in non-binary and temporal stochastic block models
Community recovery in non-binary and temporal stochastic block models
Konstantin Avrachenkov
Maximilien Dreveton
Lasse Leskelä
92
10
0
11 Aug 2020
Community models for networks observed through edge nominations
Community models for networks observed through edge nominations
Tianxi Li
Elizaveta Levina
Ji Zhu
28
3
0
09 Aug 2020
Fractal Gaussian Networks: A sparse random graph model based on Gaussian
  Multiplicative Chaos
Fractal Gaussian Networks: A sparse random graph model based on Gaussian Multiplicative Chaos
Subhro Ghosh
Krishnakumar Balasubramanian
Xiaochuan Yang
39
3
0
07 Aug 2020
Community detection in sparse latent space models
Community detection in sparse latent space models
Fengnan Gao
Zongming Ma
Hongsong Yuan
40
4
0
04 Aug 2020
Almost exact recovery in noisy semi-supervised learning
Almost exact recovery in noisy semi-supervised learning
Konstantin Avrachenkov
Maximilien Dreveton
NoLa
56
1
0
29 Jul 2020
Message Passing Least Squares Framework and its Application to Rotation
  Synchronization
Message Passing Least Squares Framework and its Application to Rotation Synchronization
Yunpeng Shi
Gilad Lerman
123
37
0
27 Jul 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
68
22
0
16 Jul 2020
Block Model Guided Unsupervised Feature Selection
Block Model Guided Unsupervised Feature Selection
Zilong Bai
H. Nguyen
Ian Davidson
21
2
0
05 Jul 2020
On spectral algorithms for community detection in stochastic blockmodel
  graphs with vertex covariates
On spectral algorithms for community detection in stochastic blockmodel graphs with vertex covariates
Cong Mu
A. Mele
Lingxin Hao
Joshua Cape
A. Athreya
Carey E. Priebe
53
11
0
04 Jul 2020
Belief Propagation Neural Networks
Belief Propagation Neural Networks
Jonathan Kuck
Shuvam Chakraborty
Hao Tang
Rachel Luo
Jiaming Song
Ashish Sabharwal
Stefano Ermon
108
40
0
01 Jul 2020
Towards analyzing large graphs with quantum annealing and quantum gate
  computers
Towards analyzing large graphs with quantum annealing and quantum gate computers
H. Reittu
Ville Kotovirta
Lasse Leskelä
H. Rummukainen
Tomi D. Räty
24
8
0
30 Jun 2020
Hypergraph Random Walks, Laplacians, and Clustering
Hypergraph Random Walks, Laplacians, and Clustering
Koby Hayashi
Sinan G. Aksoy
C. Park
Haesun Park
57
56
0
29 Jun 2020
Non-Convex Exact Community Recovery in Stochastic Block Model
Non-Convex Exact Community Recovery in Stochastic Block Model
Peng Wang
Zirui Zhou
Anthony Man-Cho So
65
9
0
29 Jun 2020
Community detection and percolation of information in a geometric
  setting
Community detection and percolation of information in a geometric setting
Ronen Eldan
Dan Mikulincer
Hester Frederiek Pieters
69
9
0
28 Jun 2020
A metric on directed graphs and Markov chains based on hitting
  probabilities
A metric on directed graphs and Markov chains based on hitting probabilities
Z. Boyd
Nicolas Fraiman
J. Marzuola
P. Mucha
Braxton Osting
Jonathan Weare
54
9
0
25 Jun 2020
Clustering with Tangles: Algorithmic Framework and Theoretical
  Guarantees
Clustering with Tangles: Algorithmic Framework and Theoretical Guarantees
Solveig Klepper
C. Elbracht
Diego Fioravanti
Jakob Kneip
Luca Rendsburg
Maximilian Teegen
U. V. Luxburg
53
6
0
25 Jun 2020
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