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Kronecker Graphs: An Approach to Modeling Networks

Kronecker Graphs: An Approach to Modeling Networks

29 December 2008
J. Leskovec
Deepayan Chakrabarti
Jon M. Kleinberg
Christos Faloutsos
Zoubin Ghahramani
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Papers citing "Kronecker Graphs: An Approach to Modeling Networks"

44 / 194 papers shown
Title
Cheshire: An Online Algorithm for Activity Maximization in Social
  Networks
Cheshire: An Online Algorithm for Activity Maximization in Social Networks
Ali Zarezade
A. De
Hamid R. Rabiee
Manuel Gomez Rodriguez
6
12
0
06 Mar 2017
Model-Independent Online Learning for Influence Maximization
Model-Independent Online Learning for Influence Maximization
Sharan Vaswani
B. Kveton
Zheng Wen
Mohammad Ghavamzadeh
L. Lakshmanan
Mark W. Schmidt
16
14
0
01 Mar 2017
Manifold Alignment Determination: finding correspondences across
  different data views
Manifold Alignment Determination: finding correspondences across different data views
Andreas C. Damianou
Neil D. Lawrence
Carl Henrik Ek
17
0
0
12 Jan 2017
Scalable Influence Maximization for Multiple Products in Continuous-Time
  Diffusion Networks
Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks
Nan Du
Yingyu Liang
Maria-Florina Balcan
Manuel Gomez Rodriguez
H. Zha
Le Song
11
32
0
08 Dec 2016
Estimating latent feature-feature interactions in large feature-rich
  graphs
Estimating latent feature-feature interactions in large feature-rich graphs
Corrado Monti
P. Boldi
11
4
0
03 Dec 2016
Learning Influence Functions from Incomplete Observations
Learning Influence Functions from Incomplete Observations
Xinran He
Ke Xu
David Kempe
Yan Liu
16
41
0
07 Nov 2016
Tensor Decompositions for Identifying Directed Graph Topologies and
  Tracking Dynamic Networks
Tensor Decompositions for Identifying Directed Graph Topologies and Tracking Dynamic Networks
Yanning Shen
Brian Baingana
G. Giannakis
22
66
0
26 Oct 2016
Darwini: Generating realistic large-scale social graphs
Darwini: Generating realistic large-scale social graphs
Sergey Edunov
Dionysios Logothetis
Cheng Wang
A. Ching
M. Kabiljo
19
16
0
03 Oct 2016
Growing Graphs with Hyperedge Replacement Graph Grammars
Growing Graphs with Hyperedge Replacement Graph Grammars
Salvador Aguiñaga
Rodrigo Palácios
David Chiang
Tim Weninger
14
13
0
10 Aug 2016
Tracking Switched Dynamic Network Topologies from Information Cascades
Tracking Switched Dynamic Network Topologies from Information Cascades
Brian Baingana
G. Giannakis
17
41
0
28 Jun 2016
Multi-View Treelet Transform
Multi-View Treelet Transform
Brian Mitchell
Linda R. Petzold
11
0
0
02 Jun 2016
Kernel-Based Structural Equation Models for Topology Identification of
  Directed Networks
Kernel-Based Structural Equation Models for Topology Identification of Directed Networks
Yanning Shen
Brian Baingana
G. Giannakis
6
90
0
10 May 2016
Breadth First Search Vectorization on the Intel Xeon Phi
Breadth First Search Vectorization on the Intel Xeon Phi
Mireya Paredes
Graham D. Riley
M. Luján
11
11
0
11 Apr 2016
Asynchronous adaptive networks
Asynchronous adaptive networks
A. H. Sayed
Xiaochuan Zhao
17
12
0
30 Nov 2015
Message Passing and Combinatorial Optimization
Message Passing and Combinatorial Optimization
Siamak Ravanbakhsh
43
1
0
20 Aug 2015
Using Bayesian Network Representations for Effective Sampling from
  Generative Network Models
Using Bayesian Network Representations for Effective Sampling from Generative Network Models
Pablo Robles-Granda
Sebastián Moreno
Jennifer Neville
14
1
0
11 Jul 2015
COEVOLVE: A Joint Point Process Model for Information Diffusion and
  Network Co-evolution
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution
Mehrdad Farajtabar
Yichen Wang
Manuel Gomez Rodriguez
Shuang Li
H. Zha
Le Song
20
236
0
08 Jul 2015
Inferring Graphs from Cascades: A Sparse Recovery Framework
Inferring Graphs from Cascades: A Sparse Recovery Framework
Jean Pouget-Abadie
Thibaut Horel
69
50
0
21 May 2015
Learning and Optimization with Submodular Functions
Learning and Optimization with Submodular Functions
Bharathwaj Sankaran
Marjan Ghazvininejad
Xinran He
David C. Kale
L. Cohen
23
1
0
07 May 2015
Community Detection and Classification in Hierarchical Stochastic
  Blockmodels
Community Detection and Classification in Hierarchical Stochastic Blockmodels
V. Lyzinski
M. Tang
A. Athreya
Youngser Park
Carey E. Priebe
26
149
0
07 Mar 2015
Mathematical and Algorithmic Analysis of Network and Biological Data
Mathematical and Algorithmic Analysis of Network and Biological Data
Charalampos E. Tsourakakis
30
11
0
30 Jun 2014
Estimating Diffusion Network Structures: Recovery Conditions, Sample
  Complexity & Soft-thresholding Algorithm
Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm
Hadi Daneshmand
Manuel Gomez Rodriguez
Le Song
Bernhard Schölkopf
TPM
24
120
0
12 May 2014
Asynchronous Adaptation and Learning over Networks - Part II:
  Performance Analysis
Asynchronous Adaptation and Learning over Networks - Part II: Performance Analysis
Xiaochuan Zhao
A. H. Sayed
45
43
0
19 Dec 2013
Budgeted Influence Maximization for Multiple Products
Budgeted Influence Maximization for Multiple Products
Nan Du
Yingyu Liang
Maria-Florina Balcan
Le Song
28
13
0
08 Dec 2013
Detecting Anomalous Activity on Networks with the Graph Fourier Scan
  Statistic
Detecting Anomalous Activity on Networks with the Graph Fourier Scan Statistic
James Sharpnack
Alessandro Rinaldo
Aarti Singh
55
41
0
28 Nov 2013
Scalable Influence Estimation in Continuous-Time Diffusion Networks
Scalable Influence Estimation in Continuous-Time Diffusion Networks
Nan Du
Le Song
Manuel Gomez Rodriguez
H. Zha
38
266
0
14 Nov 2013
Authorship Attribution Using Word Network Features
Authorship Attribution Using Word Network Features
Shibamouli Lahiri
Rada Mihalcea
24
10
0
12 Nov 2013
Hierarchical Block Structures and High-resolution Model Selection in
  Large Networks
Hierarchical Block Structures and High-resolution Model Selection in Large Networks
Tiago P. Peixoto
52
371
0
16 Oct 2013
Learning an Integrated Distance Metric for Comparing Structure of
  Complex Networks
Learning an Integrated Distance Metric for Comparing Structure of Complex Networks
Sadegh Aliakbary
Sadegh Motallebi
J. Habibi
A. Movaghar
45
3
0
13 Jul 2013
Generative Model Selection Using a Scalable and Size-Independent Complex
  Network Classifier
Generative Model Selection Using a Scalable and Size-Independent Complex Network Classifier
Sadegh Motallebi
Sadegh Aliakbary
J. Habibi
47
16
0
10 Jun 2013
Modeling Information Propagation with Survival Theory
Modeling Information Propagation with Survival Theory
Manuel Gomez Rodriguez
J. Leskovec
Bernhard Schölkopf
33
178
0
15 May 2013
Counting Triangles in Massive Graphs with MapReduce
Counting Triangles in Massive Graphs with MapReduce
T. Kolda
Ali Pinar
T. Plantenga
Seshadhri Comandur
Christine Task
35
83
0
24 Jan 2013
Spectral Estimation of Conditional Random Graph Models for Large-Scale
  Network Data
Spectral Estimation of Conditional Random Graph Models for Large-Scale Network Data
Antonino Freno
Mikaela Keller
Gemma C. Garriga
Marc Tommasi
57
4
0
16 Oct 2012
Changepoint Detection over Graphs with the Spectral Scan Statistic
Changepoint Detection over Graphs with the Spectral Scan Statistic
James Sharpnack
Alessandro Rinaldo
Aarti Singh
100
70
0
04 Jun 2012
Latent Multi-group Membership Graph Model
Latent Multi-group Membership Graph Model
Myunghwan Kim
J. Leskovec
BDL
36
52
0
21 May 2012
Transforming Graph Representations for Statistical Relational Learning
Transforming Graph Representations for Statistical Relational Learning
Ryan A. Rossi
Luke K. McDowell
D. Aha
Jennifer Neville
50
1
0
30 Mar 2012
Graphlet decomposition of a weighted network
Graphlet decomposition of a weighted network
Hossein Azari Soufiani
E. Airoldi
GNN
28
44
0
13 Mar 2012
Efficiently Sampling Multiplicative Attribute Graphs Using a
  Ball-Dropping Process
Efficiently Sampling Multiplicative Attribute Graphs Using a Ball-Dropping Process
Hyokun Yun
S.V.N. Vishwanathan
36
1
0
27 Feb 2012
Quilting Stochastic Kronecker Product Graphs to Generate Multiplicative
  Attribute Graphs
Quilting Stochastic Kronecker Product Graphs to Generate Multiplicative Attribute Graphs
Hyokun Yun
S.V.N. Vishwanathan
34
2
0
24 Oct 2011
Moment based estimation of stochastic Kronecker graph parameters
Moment based estimation of stochastic Kronecker graph parameters
D. Gleich
Art B. Owen
48
40
0
08 Jun 2011
Time-Varying Graphs and Social Network Analysis: Temporal Indicators and
  Metrics
Time-Varying Graphs and Social Network Analysis: Temporal Indicators and Metrics
Nicola Santoro
Walter Quattrociocchi
P. Flocchini
Arnaud Casteigts
F. Amblard
43
124
0
03 Feb 2011
Emergence through Selection: The Evolution of a Scientific Challenge
Emergence through Selection: The Evolution of a Scientific Challenge
Walter Quattrociocchi
F. Amblard
24
5
0
01 Feb 2011
Time-Varying Graphs and Dynamic Networks
Time-Varying Graphs and Dynamic Networks
Arnaud Casteigts
P. Flocchini
Walter Quattrociocchi
Nicola Santoro
49
796
0
30 Nov 2010
A survey of statistical network models
A survey of statistical network models
Anna Goldenberg
A. Zheng
S. Fienberg
E. Airoldi
118
975
0
29 Dec 2009
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