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Community Detection in Networks using Graph Distance

Community Detection in Networks using Graph Distance

16 January 2014
Sharmodeep Bhattacharyya
Peter J. Bickel
    GNN
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Papers citing "Community Detection in Networks using Graph Distance"

5 / 5 papers shown
Title
Structack: Structure-based Adversarial Attacks on Graph Neural Networks
Structack: Structure-based Adversarial Attacks on Graph Neural Networks
Hussain Hussain
Tomislav Duricic
Elisabeth Lex
D. Helic
M. Strohmaier
Roman Kern
AAML
GNN
12
12
0
23 Jul 2021
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
23
12
0
18 Aug 2017
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
56
139
0
23 Apr 2014
Asymptotic normality of maximum likelihood and its variational
  approximation for stochastic blockmodels
Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels
Peter J. Bickel
David S. Choi
Xiangyu Chang
Hai Zhang
71
220
0
04 Jul 2012
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
53
36
0
10 Apr 2012
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