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Spectral redemption: clustering sparse networks
v1v2 (latest)

Spectral redemption: clustering sparse networks

Proceedings of the National Academy of Sciences of the United States of America (PNAS), 2013
24 June 2013
Florent Krzakala
Cristopher Moore
Elchanan Mossel
Joe Neeman
Allan Sly
Lenka Zdeborová
Pan Zhang
ArXiv (abs)PDFHTML

Papers citing "Spectral redemption: clustering sparse networks"

50 / 172 papers shown
Title
PCA recovery thresholds in low-rank matrix inference with sparse noise
PCA recovery thresholds in low-rank matrix inference with sparse noise
Urte Adomaityte
G. Sicuro
P. Vivo
0
0
0
14 Nov 2025
A roadmap for curvature-based geometric data analysis and learning
A roadmap for curvature-based geometric data analysis and learning
Yasharth Yadav
Kelin Xia
48
0
0
26 Oct 2025
Phase Transition for Stochastic Block Model with more than $\sqrt{n}$ Communities
Phase Transition for Stochastic Block Model with more than n\sqrt{n}n​ Communities
Alexandra Carpentier
Christophe Giraud
Nicolas Verzélen
52
0
0
19 Sep 2025
Unfolded Laplacian Spectral Embedding: A Theoretically Grounded Approach to Dynamic Network Representation
Unfolded Laplacian Spectral Embedding: A Theoretically Grounded Approach to Dynamic Network Representation
Haruka Ezoe
Hiroki Matsumoto
Ryohei Hisano
40
0
0
18 Aug 2025
Stationary distribution of node2vec random walks on household models
Stationary distribution of node2vec random walks on household models
Lars Schroeder
Clara Stegehuis
OT
228
0
0
26 Feb 2025
Low degree conjecture implies sharp computational thresholds in stochastic block model
Low degree conjecture implies sharp computational thresholds in stochastic block model
Jingqiu Ding
Yiding Hua
Lucas Slot
David Steurer
206
4
0
20 Feb 2025
Community detection with the Bethe-Hessian
Community detection with the Bethe-HessianAnnual Conference Computational Learning Theory (COLT), 2024
Ludovic Stephan
Yizhe Zhu
189
2
0
05 Nov 2024
Estimating the number of clusters of a Block Markov Chain
Estimating the number of clusters of a Block Markov Chain
T. Vuren
Thomas Cronk
Jaron Sanders
193
2
0
25 Jul 2024
Optimal thresholds and algorithms for a model of multi-modal learning in high dimensions
Optimal thresholds and algorithms for a model of multi-modal learning in high dimensions
Christian Keup
Lenka Zdeborová
214
3
0
03 Jul 2024
Non-backtracking Graph Neural Networks
Non-backtracking Graph Neural Networks
Seonghyun Park
Narae Ryu
Ga-Rin Kim
Dongyeop Woo
Se-Young Yun
SungSoo Ahn
194
6
0
11 Oct 2023
UBSea: A Unified Community Detection Framework
UBSea: A Unified Community Detection Framework
Xiancheng Lin
Hao Chen
160
0
0
07 Oct 2023
A Comprehensive Review of Community Detection in Graphs
A Comprehensive Review of Community Detection in Graphs
Jiakang Li
Songlai Ning
Zhihao Shuai
Yuan Tan
Yifan Jia
...
Yongxin Ni
Haifeng Qiu
Jiayu Yang
Y. Lu
Yonggang Lu
GNN
274
49
0
21 Sep 2023
Consistency of Lloyd's Algorithm Under Perturbations
Consistency of Lloyd's Algorithm Under Perturbations
Dhruv Patel
Hui Shen
S. Bhamidi
Yufeng Liu
V. Pipiras
143
3
0
01 Sep 2023
Explainable Graph Spectral Clustering of Text Documents
Explainable Graph Spectral Clustering of Text Documents
B. Starosta
M. Klopotek
Slawomir T. Wierzchoñ
109
3
0
01 Aug 2023
Curvature-based Clustering on Graphs
Curvature-based Clustering on Graphs
Yupan Tian
Zachary Lubberts
Melanie Weber
176
14
0
19 Jul 2023
Zoo Guide to Network Embedding
Zoo Guide to Network Embedding
Anthony Baptista
Rubén J. Sánchez-García
A. Baudot
Ginestra Bianconi
GNN
123
10
0
05 May 2023
A non-backtracking method for long matrix and tensor completion
A non-backtracking method for long matrix and tensor completionAnnual Conference Computational Learning Theory (COLT), 2023
Ludovic Stephan
Yizhe Zhu
501
7
0
04 Apr 2023
Neural-prior stochastic block model
Neural-prior stochastic block model
O. Duranthon
L. Zdeborová
230
4
0
17 Mar 2023
GRANDE: a neural model over directed multigraphs with application to
  anti-money laundering
GRANDE: a neural model over directed multigraphs with application to anti-money launderingIndustrial Conference on Data Mining (IDM), 2022
Ruofan Wu
Boqun Ma
Hong Jin
Wenlong Zhao
Weiqiang Wang
Tianyi Zhang
100
2
0
04 Feb 2023
A Network Science perspective of Graph Convolutional Networks: A survey
A Network Science perspective of Graph Convolutional Networks: A surveyIEEE Access (IEEE Access), 2023
Mingshan Jia
Bogdan Gabrys
Katarzyna Musial
GNN
145
12
0
12 Jan 2023
Exact Phase Transitions for Stochastic Block Models and Reconstruction
  on Trees
Exact Phase Transitions for Stochastic Block Models and Reconstruction on TreesSymposium on the Theory of Computing (STOC), 2022
Elchanan Mossel
Allan Sly
Youngtak Sohn
151
15
0
06 Dec 2022
Implicit models, latent compression, intrinsic biases, and cheap lunches
  in community detection
Implicit models, latent compression, intrinsic biases, and cheap lunches in community detectionPhysical Review E (Phys. Rev. E), 2022
Tiago P. Peixoto
Alec Kirkley
278
16
0
17 Oct 2022
Disordered Systems Insights on Computational Hardness
Disordered Systems Insights on Computational HardnessJournal of Statistical Mechanics: Theory and Experiment (JSTAT), 2022
D. Gamarnik
Cristopher Moore
Lenka Zdeborová
AI4CE
150
50
0
15 Oct 2022
Approximate sampling and estimation of partition functions using neural
  networks
Approximate sampling and estimation of partition functions using neural networks
George T. Cantwell
BDLDRL
77
1
0
21 Sep 2022
One Node at a Time: Node-Level Network Classification
One Node at a Time: Node-Level Network ClassificationInternational Conference on Machine Learning and Applications (ICMLA), 2021
S. Shai
Isaac Jacobs
P. Mucha
GNN
64
1
0
03 Aug 2022
Multi-Frequency Joint Community Detection and Phase Synchronization
Multi-Frequency Joint Community Detection and Phase SynchronizationIEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2022
Lingda Wang
Zhizhen Zhao
192
3
0
16 Jun 2022
Semi-Supervised Clustering of Sparse Graphs: Crossing the
  Information-Theoretic Threshold
Semi-Supervised Clustering of Sparse Graphs: Crossing the Information-Theoretic ThresholdJournal of Machine Learning (JML), 2022
Jun Sheng
Thomas Strohmer
303
1
0
24 May 2022
Nonbacktracking spectral clustering of nonuniform hypergraphs
Nonbacktracking spectral clustering of nonuniform hypergraphsSIAM Journal on Mathematics of Data Science (SIMODS), 2022
Philip S. Chodrow
Nicole Eikmeier
Jamie Haddock
175
22
0
27 Apr 2022
Sparse random hypergraphs: Non-backtracking spectra and community
  detection
Sparse random hypergraphs: Non-backtracking spectra and community detectionIEEE Annual Symposium on Foundations of Computer Science (FOCS), 2022
Ludovic Stephan
Yizhe Zhu
188
27
0
14 Mar 2022
Towards Digital Twin Oriented Modelling of Complex Networked Systems and
  Their Dynamics: A Comprehensive Survey
Towards Digital Twin Oriented Modelling of Complex Networked Systems and Their Dynamics: A Comprehensive SurveyIEEE Access (IEEE Access), 2022
Jiaqi Wen
Bogdan Gabrys
Katarzyna Musial
AI4CE
137
35
0
15 Feb 2022
Matrix Completion with Hierarchical Graph Side Information
Matrix Completion with Hierarchical Graph Side InformationNeural Information Processing Systems (NeurIPS), 2022
Adel M. Elmahdy
Junhyung Ahn
Changho Suh
S. Mohajer
166
15
0
02 Jan 2022
A Spectral Method for Joint Community Detection and Orthogonal Group
  Synchronization
A Spectral Method for Joint Community Detection and Orthogonal Group SynchronizationSIAM Journal on Matrix Analysis and Applications (SIMAX), 2021
Yifeng Fan
Y. Khoo
Zhizhen Zhao
169
4
0
25 Dec 2021
Consistency of Spectral Seriation
Consistency of Spectral Seriation
A. Natik
Aaron Smith
108
6
0
08 Dec 2021
Descriptive vs. inferential community detection in networks: pitfalls,
  myths, and half-truths
Descriptive vs. inferential community detection in networks: pitfalls, myths, and half-truths
Tiago P. Peixoto
339
54
0
30 Nov 2021
Graph neural network initialisation of quantum approximate optimisation
Graph neural network initialisation of quantum approximate optimisationQuantum (Quantum), 2021
Nishant Jain
Brian Coyle
E. Kashefi
N. Kumar
GNNAI4CE
286
54
0
04 Nov 2021
Community detection using low-dimensional network embedding algorithms
Community detection using low-dimensional network embedding algorithms
Aman Barot
S. Bhamidi
Souvik Dhara
127
8
0
04 Nov 2021
Confidence sets in a sparse stochastic block model with two communities
  of unknown sizes
Confidence sets in a sparse stochastic block model with two communities of unknown sizes
B. Kleijn
J. van Waaij
102
2
0
16 Aug 2021
Estimating Graph Dimension with Cross-validated Eigenvalues
Estimating Graph Dimension with Cross-validated Eigenvalues
Fan Chen
S. Roch
Karl Rohe
Shuqi Yu
136
15
0
06 Aug 2021
Spectral Recovery of Binary Censored Block Models
Spectral Recovery of Binary Censored Block Models
Souvik Dhara
Julia Gaudio
Elchanan Mossel
Colin Sandon
179
15
0
13 Jul 2021
Spectral embedding for dynamic networks with stability guarantees
Spectral embedding for dynamic networks with stability guaranteesNeural Information Processing Systems (NeurIPS), 2021
Ian Gallagher
Andrew Jones
Patrick Rubin-Delanchy
177
27
0
02 Jun 2021
A Comprehensive Survey on Community Detection with Deep Learning
A Comprehensive Survey on Community Detection with Deep LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Xing Su
Shan Xue
Fanzhen Liu
Hongzhi Zhang
Jian Yang
...
Cécile Paris
Surya Nepal
Di Jin
Quan Z. Sheng
Philip S. Yu
GNN
141
389
0
26 May 2021
Nonparametric Modeling of Higher-Order Interactions via Hypergraphons
Nonparametric Modeling of Higher-Order Interactions via HypergraphonsJournal of machine learning research (JMLR), 2021
Krishnakumar Balasubramanian
134
14
0
18 May 2021
Uncertainty quantification and testing in a stochastic block model with
  two unequal communities
Uncertainty quantification and testing in a stochastic block model with two unequal communities
J. van Waaij
B. Kleijn
161
1
0
18 May 2021
Bayesian reconstruction of memories stored in neural networks from their
  connectivity
Bayesian reconstruction of memories stored in neural networks from their connectivity
Sebastian Goldt
Florent Krzakala
Lenka Zdeborová
Nicolas Brunel
116
4
0
16 May 2021
Nishimori meets Bethe: a spectral method for node classification in
  sparse weighted graphs
Nishimori meets Bethe: a spectral method for node classification in sparse weighted graphsJournal of Statistical Mechanics: Theory and Experiment (JSTAT), 2021
Lorenzo DallÁmico
Romain Couillet
Nicolas M Tremblay
158
17
0
05 Mar 2021
Two-way kernel matrix puncturing: towards resource-efficient PCA and
  spectral clustering
Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clusteringInternational Conference on Machine Learning (ICML), 2021
Romain Couillet
Florent Chatelain
N. L. Bihan
173
10
0
24 Feb 2021
Learning Parametrised Graph Shift Operators
Learning Parametrised Graph Shift OperatorsInternational Conference on Learning Representations (ICLR), 2021
George Dasoulas
J. Lutzeyer
Michalis Vazirgiannis
OOD
198
23
0
25 Jan 2021
Adjusted chi-square test for degree-corrected block models
Adjusted chi-square test for degree-corrected block modelsAnnals of Statistics (Ann. Stat.), 2020
Linfan Zhang
Arash A. Amini
222
9
0
30 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
211
27
0
07 Dec 2020
Contextual Stochastic Block Model: Sharp Thresholds and Contiguity
Contextual Stochastic Block Model: Sharp Thresholds and ContiguityJournal of machine learning research (JMLR), 2020
Chen Lu
S. Sen
134
23
0
15 Nov 2020
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