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The blessing of transitivity in sparse and stochastic networks

The blessing of transitivity in sparse and stochastic networks

8 July 2013
Karl Rohe
Tai Qin
ArXivPDFHTML

Papers citing "The blessing of transitivity in sparse and stochastic networks"

7 / 7 papers shown
Title
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 Embedding
Tong Qi
V. Lyzinski
18
0
0
18 Dec 2023
Implications of sparsity and high triangle density for graph
  representation learning
Implications of sparsity and high triangle density for graph representation learning
Hannah Sansford
Alexander Modell
N. Whiteley
Patrick Rubin-Delanchy
25
1
0
27 Oct 2022
Local Motif Clustering via (Hyper)Graph Partitioning
Local Motif Clustering via (Hyper)Graph Partitioning
Adil Chhabra
Marcelo Fonseca Faraj
Christian Schulz
19
3
0
11 May 2022
Edgeworth expansions for network moments
Edgeworth expansions for network moments
Yuan Zhang
Dong Xia
32
25
0
14 Apr 2020
Improved Graph Clustering
Improved Graph Clustering
Yudong Chen
Sujay Sanghavi
Huan Xu
94
191
0
11 Oct 2012
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
The Highest Dimensional Stochastic Blockmodel with a Regularized
  Estimator
The Highest Dimensional Stochastic Blockmodel with a Regularized Estimator
Karl Rohe
Tai Qin
Haoyang Fan
66
18
0
11 Jun 2012
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