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Community Detection in Networks using Graph Distance
v1v2 (latest)

Community Detection in Networks using Graph Distance

16 January 2014
Sharmodeep Bhattacharyya
Peter J. Bickel
    GNN
ArXiv (abs)PDFHTML

Papers citing "Community Detection in Networks using Graph Distance"

14 / 14 papers shown
Title
A network community detection method with integration of data from
  multiple layers and node attributes
A network community detection method with integration of data from multiple layers and node attributesNetwork Science (NS), 2023
H. Reittu
Lasse Leskelä
Tomi D. Räty
128
2
0
22 May 2023
Structack: Structure-based Adversarial Attacks on Graph Neural Networks
Structack: Structure-based Adversarial Attacks on Graph Neural NetworksACM Conference on Hypertext & Social Media (HT), 2021
Hussain Hussain
Tomislav Duricic
Elisabeth Lex
D. Helic
M. Strohmaier
Roman Kern
AAMLGNN
195
15
0
23 Jul 2021
General Community Detection with Optimal Recovery Conditions for
  Multi-relational Sparse Networks with Dependent Layers
General Community Detection with Optimal Recovery Conditions for Multi-relational Sparse Networks with Dependent Layers
Sharmodeep Bhattacharyya
Sabyasachi Chatterjee
143
14
0
06 Apr 2020
Regular Partitions and Their Use in Structural Pattern Recognition
Regular Partitions and Their Use in Structural Pattern Recognition
M. Fiorucci
32
0
0
16 Sep 2019
Spectral Clustering for Multiple Sparse Networks: I
Spectral Clustering for Multiple Sparse Networks: I
Sharmodeep Bhattacharyya
Sabyasachi Chatterjee
122
42
0
27 May 2018
Two provably consistent divide and conquer clustering algorithms for
  large networks
Two provably consistent divide and conquer clustering algorithms for large networks
Soumendu Sundar Mukherjee
Purnamrita Sarkar
Peter J. Bickel
158
15
0
18 Aug 2017
Community Detection and Stochastic Block Models
Community Detection and Stochastic Block Models
Emmanuel Abbe
366
1,264
0
29 Mar 2017
Detection in the stochastic block model with multiple clusters: proof of
  the achievability conjectures, acyclic BP, and the information-computation
  gap
Detection in the stochastic block model with multiple clusters: proof of the achievability conjectures, acyclic BP, and the information-computation gap
Emmanuel Abbe
Colin Sandon
304
122
0
30 Dec 2015
Spectral Clustering and Block Models: A Review And A New Algorithm
Spectral Clustering and Block Models: A Review And A New Algorithm
Sharmodeep Bhattacharyya
Peter J. Bickel
84
8
0
07 Aug 2015
Recovering communities in the general stochastic block model without
  knowing the parameters
Recovering communities in the general stochastic block model without knowing the parametersNeural Information Processing Systems (NeurIPS), 2015
Emmanuel Abbe
Colin Sandon
201
92
0
11 Jun 2015
Sequential Changepoint Approach for Online Community Detection
Sequential Changepoint Approach for Online Community DetectionIEEE Signal Processing Letters (IEEE SPL), 2014
David Marangoni-Simonsen
Yao Xie
281
19
0
22 Jul 2014
A useful variant of the Davis--Kahan theorem for statisticians
A useful variant of the Davis--Kahan theorem for statisticians
Yi Yu
Tengyao Wang
R. Samworth
264
617
0
04 May 2014
Robust and computationally feasible community detection in the presence
  of arbitrary outlier nodes
Robust and computationally feasible community detection in the presence of arbitrary outlier nodes
T. Tony Cai
Xiaodong Li
404
146
0
23 Apr 2014
Co-clustering for directed graphs: the Stochastic co-Blockmodel and
  spectral algorithm Di-Sim
Co-clustering for directed graphs: the Stochastic co-Blockmodel and spectral algorithm Di-Sim
Karl Rohe
Tai Qin
Bin Yu
238
37
0
10 Apr 2012
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