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Spectral clustering and the high-dimensional stochastic blockmodel
v1v2v3 (latest)

Spectral clustering and the high-dimensional stochastic blockmodel

9 July 2010
Karl Rohe
S. Chatterjee
Bin Yu
ArXiv (abs)PDFHTML

Papers citing "Spectral clustering and the high-dimensional stochastic blockmodel"

50 / 394 papers shown
Estimating Graph Dimension with Cross-validated Eigenvalues
Estimating Graph Dimension with Cross-validated Eigenvalues
Fan Chen
S. Roch
Karl Rohe
Shuqi Yu
270
17
0
24 Dec 2025
An Improved and Generalised Analysis for Spectral Clustering
An Improved and Generalised Analysis for Spectral Clustering
George Tyler
Luca Zanetti
144
0
0
28 Nov 2025
Model-free algorithms for fast node clustering in SBM type graphs and application to social role inference in animals
Model-free algorithms for fast node clustering in SBM type graphs and application to social role inference in animals
Bertrand Cloez
Adrien Cotil
Jean-Baptiste Menassol
Nicolas Verzelen
128
0
0
19 Sep 2025
Strongly Consistent Community Detection in Popularity Adjusted Block Models
Strongly Consistent Community Detection in Popularity Adjusted Block Models
Quan Yuan
Binghui Liu
Danning Li
Lingzhou Xue
210
1
0
08 Jun 2025
Asymptotically perfect seeded graph matching without edge correlation (and applications to inference)
Asymptotically perfect seeded graph matching without edge correlation (and applications to inference)
Tong Qi
Vera Andersson
Peter Viechnicki
V. Lyzinski
329
0
0
03 Jun 2025
Spectral clustering for dependent community Hawkes process models of temporal networks
Spectral clustering for dependent community Hawkes process models of temporal networks
Lingfei Zhao
Hadeel Soliman
Kevin S. Xu
Subhadeep Paul
153
0
0
28 May 2025
On the Price of Differential Privacy for Spectral Clustering over Stochastic Block Models
On the Price of Differential Privacy for Spectral Clustering over Stochastic Block Models
Antti Koskela
Mohamed Seif
Andrea J. Goldsmith
203
2
0
09 May 2025
Learning Laplacian Positional Encodings for Heterophilous Graphs
Learning Laplacian Positional Encodings for Heterophilous GraphsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Michael Ito
Jiong Zhu
Dexiong Chen
Danai Koutra
Jenna Wiens
869
4
0
29 Apr 2025
A spectral clustering-type algorithm for the consistent estimation of the Hurst distribution in moderately high dimensions
A spectral clustering-type algorithm for the consistent estimation of the Hurst distribution in moderately high dimensions
P. Abry
G. Didier
Oliver Orejola
H. Wendt
340
0
0
30 Jan 2025
Principal Graph Encoder Embedding and Principal Community Detection
Principal Graph Encoder Embedding and Principal Community DetectionIEEE Transactions on Network Science and Engineering (IEEE TNS&E), 2025
Cencheng Shen
Yuexiao Dong
Carey E. Priebe
Jonathan Larson
Ha Trinh
Youngser Park
475
6
0
24 Jan 2025
Convergence Guarantees for the DeepWalk Embedding on Block Models
Convergence Guarantees for the DeepWalk Embedding on Block ModelsInternational Conference on Machine Learning (ICML), 2024
Christopher Harker
Aditya Bhaskara
192
0
0
26 Oct 2024
Improving Disease Comorbidity Prediction Based on Human Interactome with
  Biologically Supervised Graph Embedding
Improving Disease Comorbidity Prediction Based on Human Interactome with Biologically Supervised Graph EmbeddingInternational Conference on Computational Advances in Bio and Medical Sciences (ICCABS), 2024
Xihan Qin
Li Liao
AI4CE
249
0
0
08 Oct 2024
A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-Optimized Graph Neural Network
A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-Optimized Graph Neural NetworkIEEE journal of biomedical and health informatics (IEEE JBHI), 2024
Julian Carvajal Rico
A. Alaeddini
Syed Hasib Akhter Faruqui
S. Fisher-Hoch
J. McCormick
626
2
0
20 Sep 2024
Cluster Quilting: Spectral Clustering for Patchwork Learning
Cluster Quilting: Spectral Clustering for Patchwork Learning
Lili Zheng
Andersen Chang
Genevera I. Allen
188
1
0
19 Jun 2024
Learning Joint and Individual Structure in Network Data with Covariates
Learning Joint and Individual Structure in Network Data with Covariates
Carson James
Dongbang Yuan
Irina Gaynanova
Jesús Arroyo
CML
260
2
0
13 Jun 2024
Selecting the Number of Communities for Weighted Degree-Corrected Stochastic Block Models
Selecting the Number of Communities for Weighted Degree-Corrected Stochastic Block ModelsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Yucheng Liu
Xiaodong Li
589
0
0
08 Jun 2024
Efficient Graph Encoder Embedding for Large Sparse Graphs in Python
Efficient Graph Encoder Embedding for Large Sparse Graphs in Python
Xihan Qin
Cencheng Shen
GNN
251
2
0
06 Jun 2024
Fast and Scalable Multi-Kernel Encoder Classifier
Fast and Scalable Multi-Kernel Encoder Classifier
Cencheng Shen
266
2
0
04 Jun 2024
Encoder Embedding for General Graph and Node Classification
Encoder Embedding for General Graph and Node Classification
Cencheng Shen
GNN
301
8
0
24 May 2024
Refined Graph Encoder Embedding via Self-Training and Latent Community Recovery
Refined Graph Encoder Embedding via Self-Training and Latent Community Recovery
Cencheng Shen
Jonathan Larson
Ha Trinh
Carey E. Priebe
330
5
0
21 May 2024
Rates of convergence and normal approximations for estimators of local
  dependence random graph models
Rates of convergence and normal approximations for estimators of local dependence random graph models
Jonathan R. Stewart
197
2
0
17 Apr 2024
On varimax asymptotics in network models and spectral methods for
  dimensionality reduction
On varimax asymptotics in network models and spectral methods for dimensionality reductionBiometrika (Biometrika), 2023
Joshua Cape
254
3
0
08 Mar 2024
Social Learning in Community Structured Graphs
Social Learning in Community Structured Graphs
Valentina Shumovskaia
Mert Kayaalp
Ali H. Sayed
575
3
0
19 Dec 2023
Detection of Model-based Planted Pseudo-cliques in Random Dot Product Graphs by the Adjacency Spectral Embedding and the Graph Encoder Embedding
Detection of Model-based Planted Pseudo-cliques in Random Dot Product Graphs by the Adjacency Spectral Embedding and the Graph Encoder EmbeddingIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Tong Qi
V. Lyzinski
306
1
0
18 Dec 2023
Semidefinite programming on population clustering: a local analysis
Semidefinite programming on population clustering: a local analysis
Shuheng Zhou
351
0
0
23 Nov 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
306
3
0
01 Sep 2023
Inferences on Mixing Probabilities and Ranking in Mixed-Membership
  Models
Inferences on Mixing Probabilities and Ranking in Mixed-Membership Models
Sohom Bhattacharya
Jianqing Fan
Jikai Hou
257
4
0
29 Aug 2023
Learning cross-layer dependence structure in multilayer networks
Learning cross-layer dependence structure in multilayer networks
Jiaheng Li
J. Stewart
297
0
0
27 Jul 2023
Nonlinear Meta-Learning Can Guarantee Faster Rates
Nonlinear Meta-Learning Can Guarantee Faster RatesSIAM Journal on Mathematics of Data Science (SIMODS), 2023
Dimitri Meunier
Zhu Li
Arthur Gretton
Samory Kpotufe
612
8
0
20 Jul 2023
Minimax rates for latent position estimation in the generalized random
  dot product graph
Minimax rates for latent position estimation in the generalized random dot product graph
Hao Yan
Keith D. Levin
327
4
0
04 Jul 2023
Fast and Robust State Estimation and Tracking via Hierarchical Learning
Fast and Robust State Estimation and Tracking via Hierarchical LearningIEEE Transactions on Automatic Control (TAC), 2023
Connor Mclaughlin
Matthew Ding
Deniz Edogmus
Lili Su
244
0
0
29 Jun 2023
Privacy-Preserving Community Detection for Locally Distributed Multiple
  Networks
Privacy-Preserving Community Detection for Locally Distributed Multiple Networks
Xiaoxun Guo
Xiang Li
Xiangyu Chang
Shujie Ma
299
7
0
27 Jun 2023
Semi-supervised Community Detection via Structural Similarity Metrics
Semi-supervised Community Detection via Structural Similarity MetricsInternational Conference on Learning Representations (ICLR), 2023
Yi-Huei Jiang
Tracy Ke
307
2
0
01 Jun 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
209
2
0
10 May 2023
Discovering Communication Pattern Shifts in Large-Scale Labeled Networks
  using Encoder Embedding and Vertex Dynamics
Discovering Communication Pattern Shifts in Large-Scale Labeled Networks using Encoder Embedding and Vertex DynamicsIEEE Transactions on Network Science and Engineering (IEEE T-NSE), 2023
Cencheng Shen
Jonathan Larson
Ha Trinh
Xihan Qin
V. Prisacariu
Carey E. Priebe
300
10
0
03 May 2023
Spectral clustering in the Gaussian mixture block model
Spectral clustering in the Gaussian mixture block model
Shuangping Li
T. Schramm
374
12
0
29 Apr 2023
On Uniform Consistency of Spectral Embeddings
On Uniform Consistency of Spectral Embeddings
Ruofei Zhao
Songkai Xue
Yuekai Sun
263
0
0
25 Apr 2023
Synergistic Graph Fusion via Encoder Embedding
Synergistic Graph Fusion via Encoder EmbeddingInformation Sciences (Inf. Sci.), 2023
Cencheng Shen
Carey E. Priebe
Jonathan Larson
Ha Trinh
AI4CE
401
9
0
31 Mar 2023
Deflated HeteroPCA: Overcoming the curse of ill-conditioning in
  heteroskedastic PCA
Deflated HeteroPCA: Overcoming the curse of ill-conditioning in heteroskedastic PCAAnnals of Statistics (Ann. Stat.), 2023
Yuchen Zhou
Yuxin Chen
372
11
0
10 Mar 2023
Fitting Low-rank Models on Egocentrically Sampled Partial Networks
Fitting Low-rank Models on Egocentrically Sampled Partial NetworksInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
G. Chan
Tianxi Li
EgoV
328
1
0
09 Mar 2023
Consistent model selection for the Degree Corrected Stochastic
  Blockmodel
Consistent model selection for the Degree Corrected Stochastic BlockmodelLatin American Journal of Probability and Mathematical Statistics (ALEA), 2023
Andressa Cerqueira
S. Gallo
Florencia Leonardi
C. Vera
245
2
0
07 Feb 2023
Spectral Augmentations for Graph Contrastive Learning
Spectral Augmentations for Graph Contrastive LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Amur Ghose
Yingxue Zhang
Jianye Hao
Mark Coates
226
13
0
06 Feb 2023
Fundamental Limits of Spectral Clustering in Stochastic Block Models
Fundamental Limits of Spectral Clustering in Stochastic Block ModelsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023
An Zhang
441
12
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
259
11
0
18 Jan 2023
Semidefinite programming on population clustering: a global analysis
Semidefinite programming on population clustering: a global analysis
Shuheng Zhou
365
1
0
01 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
234
17
0
06 Dec 2022
Model-based clustering of multiple networks with a hierarchical
  algorithm
Model-based clustering of multiple networks with a hierarchical algorithmStatistics and computing (Stat. Comput.), 2022
Tabea Rebafka
329
10
0
04 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 networksExpert systems with applications (ESWA), 2022
Huan Qing
Jingli Wang
406
13
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
359
5
0
31 Oct 2022
Scalable Spectral Clustering with Group Fairness Constraints
Scalable Spectral Clustering with Group Fairness ConstraintsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Ji Wang
Ding Lu
Ian Davidson
Z. Bai
416
33
0
28 Oct 2022
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