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0804.0678
Cited By
Consistency of spectral clustering
4 April 2008
U. V. Luxburg
M. Belkin
Olivier Bousquet
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Papers citing
"Consistency of spectral clustering"
50 / 121 papers shown
Manifold Filter-Combine Networks
Sampling Theory, Signal Processing, and Data Analysis (TSPDA), 2023
Joyce A. Chew
E. Brouwer
Smita Krishnaswamy
Deanna Needell
Michael Perlmutter
Michael Perlmutter
GNN
556
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0
08 Jul 2023
Uniform error bound for PCA matrix denoising
Bernoulli (Bernoulli), 2023
Xin T. Tong
Wanjie Wang
Yuguan Wang
289
7
0
22 Jun 2023
Conditional expectation using compactification operators
Applied and Computational Harmonic Analysis (ACHA), 2023
Suddhasattwa Das
425
5
0
18 Jun 2023
Consistency of Fractional Graph-Laplacian Regularization in Semi-Supervised Learning with Finite Labels
SIAM Journal on Mathematical Analysis (SIAM J. Math. Anal.), 2023
Adrien Weihs
Matthew Thorpe
346
6
0
14 Mar 2023
On minimal variations for unsupervised representation learning
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Vivien A. Cabannes
A. Bietti
Randall Balestriero
SSL
DRL
258
8
0
07 Nov 2022
Augmentation Invariant Manifold Learning
Shulei Wang
647
2
0
01 Nov 2022
Likelihood Adjusted Semidefinite Programs for Clustering Heterogeneous Data
International Conference on Machine Learning (ICML), 2022
Yubo Zhuang
Xiaohui Chen
Yun Yang
286
2
0
29 Sep 2022
Rates of Convergence for Regression with the Graph Poly-Laplacian
Sampling Theory, Signal Processing, and Data Analysis (TSPDA), 2022
Nicolas García Trillos
Ryan W. Murray
Matthew Thorpe
455
6
0
06 Sep 2022
Consistency between ordering and clustering methods for graphs
Physical Review Research (Phys. Rev. Res.), 2022
T. Kawamoto
Masaki Ochi
Teruyoshi Kobayashi
464
3
0
27 Aug 2022
Quantum Mechanics for Closure of Dynamical Systems
Multiscale Modeling & simulation (MMS), 2022
D. Freeman
D. Giannakis
J. Slawinska
207
6
0
05 Aug 2022
Bi-stochastically normalized graph Laplacian: convergence to manifold Laplacian and robustness to outlier noise
Information and Inference A Journal of the IMA (JIII), 2022
Xiuyuan Cheng
Boris Landa
447
7
0
22 Jun 2022
SpecNet2: Orthogonalization-free spectral embedding by neural networks
Mathematical and Scientific Machine Learning (MSML), 2022
Ziyu Chen
Yingzhou Li
Xiuyuan Cheng
218
7
0
14 Jun 2022
Leave-one-out Singular Subspace Perturbation Analysis for Spectral Clustering
Annals of Statistics (Ann. Stat.), 2022
A. Zhang
Harrison H. Zhou
247
25
0
30 May 2022
Not too little, not too much: a theoretical analysis of graph (over)smoothing
Neural Information Processing Systems (NeurIPS), 2022
Nicolas Keriven
431
158
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24 May 2022
Nonbacktracking spectral clustering of nonuniform hypergraphs
SIAM Journal on Mathematics of Data Science (SIMODS), 2022
Philip S. Chodrow
Nicole Eikmeier
Jamie Haddock
363
24
0
27 Apr 2022
On consistency of constrained spectral clustering under representation-aware stochastic block model
Shubham Gupta
Ambedkar Dukkipati
337
1
0
03 Mar 2022
Learning Low-Dimensional Nonlinear Structures from High-Dimensional Noisy Data: An Integral Operator Approach
Annals of Statistics (Ann. Stat.), 2022
Xiucai Ding
Rongkai Ma
518
17
0
28 Feb 2022
Sketch-and-Lift: Scalable Subsampled Semidefinite Program for
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K
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-means Clustering
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Yubo Zhuang
Xiaohui Chen
Yun Yang
223
6
0
20 Jan 2022
Weisfeiler and Leman go Machine Learning: The Story so far
Journal of machine learning research (JMLR), 2021
Christopher Morris
Y. Lipman
Haggai Maron
Bastian Rieck
Nils M. Kriege
Martin Grohe
Matthias Fey
Karsten Borgwardt
GNN
560
139
0
18 Dec 2021
Consistency of Spectral Seriation
A. Natik
Aaron Smith
366
7
0
08 Dec 2021
Recovery Guarantees for Kernel-based Clustering under Non-parametric Mixture Models
L. C. Vankadara
Sebastian Bordt
U. V. Luxburg
Debarghya Ghoshdastidar
350
6
0
18 Oct 2021
On the Stability of Low Pass Graph Filter With a Large Number of Edge Rewires
Hoang-Son Nguyen
Yiran He
Hoi-To Wai
296
9
0
14 Oct 2021
Neural Operator: Learning Maps Between Function Spaces
Nikola B. Kovachki
Zong-Yi Li
Burigede Liu
Kamyar Azizzadenesheli
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
993
590
0
19 Aug 2021
Clustering dynamics on graphs: from spectral clustering to mean shift through Fokker-Planck interpolation
Katy Craig
Nicolas García Trillos
D. Slepčev
264
6
0
18 Aug 2021
Distribution free optimality intervals for clustering
M. Meilă
Hanyu Zhang
OOD
322
0
0
30 Jul 2021
Streaming Belief Propagation for Community Detection
Neural Information Processing Systems (NeurIPS), 2021
Yuchen Wu
M. Bateni
André Linhares
Filipe Almeida
Andrea Montanari
A. Norouzi-Fard
Jakab Tardos
261
3
0
09 Jun 2021
Laplacian-Based Dimensionality Reduction Including Spectral Clustering, Laplacian Eigenmap, Locality Preserving Projection, Graph Embedding, and Diffusion Map: Tutorial and Survey
Benyamin Ghojogh
A. Ghodsi
Fakhri Karray
Mark Crowley
302
12
0
03 Jun 2021
On the Universality of Graph Neural Networks on Large Random Graphs
Neural Information Processing Systems (NeurIPS), 2021
Nicolas Keriven
A. Bietti
Samuel Vaiter
350
27
0
27 May 2021
Hypothesis Testing for Equality of Latent Positions in Random Graphs
Xinjie Du
M. Tang
300
15
0
23 May 2021
Eigen-convergence of Gaussian kernelized graph Laplacian by manifold heat interpolation
Applied and Computational Harmonic Analysis (ACHA), 2021
Xiuyuan Cheng
Nan Wu
486
30
0
25 Jan 2021
The Interplay of Demographic Variables and Social Distancing Scores in Deep Prediction of U.S. COVID-19 Cases
Journal of the American Statistical Association (JASA), 2021
Francesca Tang
Yang Feng
Hamza Chiheb
Jianqing Fan
153
16
0
06 Jan 2021
Manifold learning with arbitrary norms
Journal of Fourier Analysis and Applications (JFAA), 2020
Joe Kileel
Amit Moscovich
Nathan Zelesko
A. Singer
465
29
0
28 Dec 2020
Continuum Limit of Lipschitz Learning on Graphs
Tim Roith
Leon Bungert
521
30
0
07 Dec 2020
Spectral clustering on spherical coordinates under the degree-corrected stochastic blockmodel
Francesco Sanna Passino
N. Heard
Patrick Rubin-Delanchy
437
16
0
09 Nov 2020
Convergence of Graph Laplacian with kNN Self-tuned Kernels
Xiuyuan Cheng
Hau‐Tieng Wu
372
28
0
03 Nov 2020
Consistency of archetypal analysis
Braxton Osting
Dong Wang
Yiming Xu
Dominique Zosso
419
5
0
16 Oct 2020
Survey: Geometric Foundations of Data Reduction
Ce Ju
95
0
0
16 Aug 2020
Posterior Consistency of Semi-Supervised Regression on Graphs
Inverse Problems (IP), 2020
Andrea L. Bertozzi
Bamdad Hosseini
Hao Li
Kevin Miller
Andrew M. Stuart
247
10
0
25 Jul 2020
Lipschitz regularity of graph Laplacians on random data clouds
SIAM Journal on Mathematical Analysis (SIAM J. Math. Anal.), 2020
Jeff Calder
Nicolas García Trillos
M. Lewicka
423
39
0
13 Jul 2020
Next Waves in Veridical Network Embedding
Statistical analysis and data mining (Stat. Anal. Data Min.), 2020
Owen G. Ward
Zhen Huang
Andrew Davison
Tian Zheng
GNN
370
6
0
10 Jul 2020
Construction and Monte Carlo estimation of wavelet frames generated by a reproducing kernel
Ernesto De Vito
Ž. Kereta
Valeriya Naumova
Lorenzo Rosasco
Stefano Vigogna
358
3
0
17 Jun 2020
CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data
Xiang Li
B. Kao
Caihua Shan
D. Yin
Martin Ester
182
15
0
08 Jun 2020
Spectral convergence of diffusion maps: improved error bounds and an alternative normalisation
SIAM Journal on Numerical Analysis (SINUM), 2020
Caroline L. Wormell
Sebastian Reich
416
46
0
03 Jun 2020
Kernel Analog Forecasting: Multiscale Test Problems
Dmitry Burov
D. Giannakis
Krithika Manohar
Andrew M. Stuart
207
22
0
13 May 2020
From graph cuts to isoperimetric inequalities: Convergence rates of Cheeger cuts on data clouds
Archive for Rational Mechanics and Analysis (ARMA), 2020
Nicolas García Trillos
Ryan W. Murray
Matthew Thorpe
326
14
0
20 Apr 2020
General Community Detection with Optimal Recovery Conditions for Multi-relational Sparse Networks with Dependent Layers
Sharmodeep Bhattacharyya
Sabyasachi Chatterjee
234
15
0
06 Apr 2020
Bridging data science and dynamical systems theory
Tyrus Berry
D. Giannakis
J. Harlim
AI4TS
AI4CE
290
22
0
18 Feb 2020
Higher-Order Label Homogeneity and Spreading in Graphs
The Web Conference (WWW), 2020
D. Eswaran
Srijan Kumar
Christos Faloutsos
221
21
0
18 Feb 2020
Sparse and Smooth: improved guarantees for Spectral Clustering in the Dynamic Stochastic Block Model
Electronic Journal of Statistics (EJS), 2020
Nicolas Keriven
Samuel Vaiter
318
14
0
07 Feb 2020
A continuum limit for the PageRank algorithm
European journal of applied mathematics (EJAM), 2020
Amber Yuan
Jeff Calder
Braxton Osting
528
19
0
24 Jan 2020
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