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Understanding Regularized Spectral Clustering via Graph Conductance

Understanding Regularized Spectral Clustering via Graph Conductance

5 June 2018
Yilin Zhang
Karl Rohe
ArXivPDFHTML

Papers citing "Understanding Regularized Spectral Clustering via Graph Conductance"

32 / 32 papers shown
Title
Adversarially robust clustering with optimality guarantees
Adversarially robust clustering with optimality guarantees
Soham Jana
Kun Yang
Sanjeev R. Kulkarni
AAML
34
2
0
16 Jun 2023
Intensity Profile Projection: A Framework for Continuous-Time
  Representation Learning for Dynamic Networks
Intensity Profile Projection: A Framework for Continuous-Time Representation Learning for Dynamic Networks
Alexander Modell
Ian Gallagher
Emma Ceccherini
N. Whiteley
Patrick Rubin-Delanchy
38
1
0
09 Jun 2023
Spectral Clustering on Large Datasets: When Does it Work? Theory from
  Continuous Clustering and Density Cheeger-Buser
Spectral Clustering on Large Datasets: When Does it Work? Theory from Continuous Clustering and Density Cheeger-Buser
T. Chu
Gary Miller
N. Walkington
21
0
0
11 May 2023
Clustering for directed graphs using parametrized random walk diffusion
  kernels
Clustering for directed graphs using parametrized random walk diffusion kernels
Harry Sevi
Matthieu Jonckheere
Argyris Kalogeratos
23
2
0
01 Oct 2022
Consistency between ordering and clustering methods for graphs
Consistency between ordering and clustering methods for graphs
T. Kawamoto
Masaki Ochi
Teruyoshi Kobayashi
11
3
0
27 Aug 2022
BrainGB: A Benchmark for Brain Network Analysis with Graph Neural
  Networks
BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks
Hejie Cui
Wei Dai
Yanqiao Zhu
Xuan Kan
Antonio Aodong Chen Gu
Joshua Lukemire
Liang Zhan
Lifang He
Ying Guo
Carl Yang
19
113
0
17 Mar 2022
Generalized Spectral Clustering for Directed and Undirected Graphs
Generalized Spectral Clustering for Directed and Undirected Graphs
Harry Sevi
Matthieu Jonckheere
Argyris Kalogeratos
22
5
0
07 Mar 2022
Cold Brew: Distilling Graph Node Representations with Incomplete or
  Missing Neighborhoods
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods
Wenqing Zheng
Edward W. Huang
Nikhil S. Rao
S. Katariya
Zhangyang Wang
Karthik Subbian
32
62
0
08 Nov 2021
Estimating Graph Dimension with Cross-validated Eigenvalues
Estimating Graph Dimension with Cross-validated Eigenvalues
Fan Chen
S. Roch
Karl Rohe
Shuqi Yu
27
12
0
06 Aug 2021
On Positional and Structural Node Features for Graph Neural Networks on
  Non-attributed Graphs
On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs
Hejie Cui
Zijie Lu
Pan Li
Carl Yang
15
80
0
03 Jul 2021
Deep Contrastive Graph Representation via Adaptive Homotopy Learning
Deep Contrastive Graph Representation via Adaptive Homotopy Learning
Rui Zhang
Chen Lu
Ziheng Jiao
Xuelong Li
29
4
0
17 Jun 2021
Adjusted chi-square test for degree-corrected block models
Adjusted chi-square test for degree-corrected block models
Linfan Zhang
Arash A. Amini
29
5
0
30 Dec 2020
Regularized spectral methods for clustering signed networks
Regularized spectral methods for clustering signed networks
Mihai Cucuringu
A. Singh
Déborah Sulem
Hemant Tyagi
19
19
0
03 Nov 2020
Combining Label Propagation and Simple Models Out-performs Graph Neural
  Networks
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks
Qian Huang
Horace He
Abhay Singh
Ser-Nam Lim
Austin R. Benson
34
283
0
27 Oct 2020
Higher-Order Spectral Clustering for Geometric Graphs
Higher-Order Spectral Clustering for Geometric Graphs
Konstantin Avrachenkov
Andrei Bobu
Maximilien Dreveton
41
9
0
23 Sep 2020
Spectral Clustering with Smooth Tiny Clusters
Spectral Clustering with Smooth Tiny Clusters
Hengrui Wang
Yubo Zhang
Mingzhi Chen
Tong Yang
9
0
0
10 Sep 2020
Almost exact recovery in noisy semi-supervised learning
Almost exact recovery in noisy semi-supervised learning
Konstantin Avrachenkov
Maximilien Dreveton
NoLa
21
1
0
29 Jul 2020
A New Basis for Sparse Principal Component Analysis
A New Basis for Sparse Principal Component Analysis
Fan Chen
Karl Rohe
13
5
0
01 Jul 2020
Consistency of Anchor-based Spectral Clustering
Consistency of Anchor-based Spectral Clustering
Henry-Louis de Kergorlay
D. Higham
9
6
0
24 Jun 2020
Average Sensitivity of Spectral Clustering
Average Sensitivity of Spectral Clustering
Pan Peng
Yuichi Yoshida
8
22
0
07 Jun 2020
Vintage Factor Analysis with Varimax Performs Statistical Inference
Vintage Factor Analysis with Varimax Performs Statistical Inference
Karl Rohe
Muzhe Zeng
8
53
0
11 Apr 2020
Robust spectral clustering using LASSO regularization
Robust spectral clustering using LASSO regularization
Camille Champion
Mélanie Blazère
Rémy Burcelin
Jean-Michel Loubes
Laurent Risser
9
2
0
08 Apr 2020
Motif-Based Spectral Clustering of Weighted Directed Networks
Motif-Based Spectral Clustering of Weighted Directed Networks
W. Underwood
Andrew Elliott
Mihai Cucuringu
23
12
0
02 Apr 2020
A unified framework for spectral clustering in sparse graphs
A unified framework for spectral clustering in sparse graphs
Lorenzo DallÁmico
Romain Couillet
Nicolas M Tremblay
6
18
0
20 Mar 2020
Entrywise convergence of iterative methods for eigenproblems
Entrywise convergence of iterative methods for eigenproblems
Vasileios Charisopoulos
Austin R. Benson
Anil Damle
24
2
0
19 Feb 2020
Spectral embedding of regularized block models
Spectral embedding of regularized block models
Nathan de Lara
Thomas Bonald
11
3
0
23 Dec 2019
A Robust Spectral Clustering Algorithm for Sub-Gaussian Mixture Models
  with Outliers
A Robust Spectral Clustering Algorithm for Sub-Gaussian Mixture Models with Outliers
Prateek Srivastava
Purnamrita Sarkar
G. A. Hanasusanto
23
18
0
16 Dec 2019
Generalized Clustering by Learning to Optimize Expected Normalized Cuts
Generalized Clustering by Learning to Optimize Expected Normalized Cuts
Azade Nazi
W. Hang
Anna Goldie
Sujith Ravi
Azalia Mirhoseini
OOD
11
4
0
16 Oct 2019
Tight Sensitivity Bounds For Smaller Coresets
Tight Sensitivity Bounds For Smaller Coresets
Alaa Maalouf
Adiel Statman
Dan Feldman
32
18
0
02 Jul 2019
Fast and Accurate Least-Mean-Squares Solvers
Fast and Accurate Least-Mean-Squares Solvers
Alaa Maalouf
Ibrahim Jubran
Dan Feldman
32
24
0
11 Jun 2019
GAP: Generalizable Approximate Graph Partitioning Framework
GAP: Generalizable Approximate Graph Partitioning Framework
Azade Nazi
W. Hang
Anna Goldie
Sujith Ravi
Azalia Mirhoseini
20
60
0
02 Mar 2019
DynaMo: Dynamic Community Detection by Incrementally Maximizing
  Modularity
DynaMo: Dynamic Community Detection by Incrementally Maximizing Modularity
Di Zhuang
Jerome Chang
Mingchen Li
31
68
0
25 Sep 2017
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