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A state-space mixed membership blockmodel for dynamic network tomography

A state-space mixed membership blockmodel for dynamic network tomography

31 December 2008
Eric P. Xing
Wenjie Fu
Le Song
ArXivPDFHTML

Papers citing "A state-space mixed membership blockmodel for dynamic network tomography"

50 / 58 papers shown
Title
Efficient Discovery of Motif Transition Process for Large-Scale Temporal Graphs
Efficient Discovery of Motif Transition Process for Large-Scale Temporal Graphs
Zhiyuan Zheng
Jianpeng Qi
Jiantao Li
Guoqing Chao
Junyu Dong
Yanwei Yu
17
0
0
22 Apr 2025
Network Tomography with Path-Centric Graph Neural Network
Yuntong Hu
Junxiang Wang
Liang Zhao
39
0
0
23 Feb 2025
Scaling up Dynamic Edge Partition Models via Stochastic Gradient MCMC
Scaling up Dynamic Edge Partition Models via Stochastic Gradient MCMC
Sikun Yang
Heinz Koeppl
19
0
0
29 Feb 2024
Federated Causal Discovery from Heterogeneous Data
Federated Causal Discovery from Heterogeneous Data
Loka Li
Ignavier Ng
Gongxu Luo
Biwei Huang
Guan-Hong Chen
Tongliang Liu
Bin Gu
Kun Zhang
FedML
32
5
0
20 Feb 2024
Restricted Tweedie Stochastic Block Models
Restricted Tweedie Stochastic Block Models
Jie Jian
Mu Zhu
Peijun Sang
6
0
0
17 Oct 2023
Using Motif Transitions for Temporal Graph Generation
Using Motif Transitions for Temporal Graph Generation
Penghang Liu
Ahmet Erdem Sarıyüce
11
10
0
19 Jun 2023
Dynamic Mixed Membership Stochastic Block Model for Weighted Labeled
  Networks
Dynamic Mixed Membership Stochastic Block Model for Weighted Labeled Networks
Gael Poux-Medard
Julien Velcin
Sabine Loudcher
11
0
0
12 Apr 2023
Structured Optimal Variational Inference for Dynamic Latent Space Models
Structured Optimal Variational Inference for Dynamic Latent Space Models
Penghui Zhao
A. Bhattacharya
D. Pati
Bani Mallick
BDL
12
1
0
29 Sep 2022
Spectral embedding for dynamic networks with stability guarantees
Spectral embedding for dynamic networks with stability guarantees
Ian Gallagher
Andrew Jones
Patrick Rubin-Delanchy
11
24
0
02 Jun 2021
Learning a Latent Simplex in Input-Sparsity Time
Learning a Latent Simplex in Input-Sparsity Time
Ainesh Bakshi
Chiranjib Bhattacharyya
R. Kannan
David P. Woodruff
Samson Zhou
23
10
0
17 May 2021
A Survey of Community Detection Approaches: From Statistical Modeling to
  Deep Learning
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning
Di Jin
Zhizhi Yu
Pengfei Jiao
Shirui Pan
Dongxiao He
Jia Wu
Philip S. Yu
Weixiong Zhang
GNN
111
272
0
03 Jan 2021
Struct-MMSB: Mixed Membership Stochastic Blockmodels with Interpretable
  Structured Priors
Struct-MMSB: Mixed Membership Stochastic Blockmodels with Interpretable Structured Priors
Yue Zhang
Arti Ramesh
9
2
0
21 Feb 2020
Neural Latent Space Model for Dynamic Networks and Temporal Knowledge
  Graphs
Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs
Tony Gracious
Shubham Gupta
Arun Kanthali
Rui M. Castro
Ambedkar Dukkipati
BDL
8
0
0
26 Nov 2019
Role Detection in Bicycle-Sharing Networks Using Multilayer Stochastic
  Block Models
Role Detection in Bicycle-Sharing Networks Using Multilayer Stochastic Block Models
Jane Carlen
Jaume de Dios Pont
C. Mentus
Shyr-Shea Chang
Stephanie Wang
M. A. Porter
18
6
0
26 Aug 2019
CHIP: A Hawkes Process Model for Continuous-time Networks with Scalable
  and Consistent Estimation
CHIP: A Hawkes Process Model for Continuous-time Networks with Scalable and Consistent Estimation
Makan Arastuie
Subhadeep Paul
Kevin S. Xu
17
2
0
19 Aug 2019
Sequential Edge Clustering in Temporal Multigraphs
Sequential Edge Clustering in Temporal Multigraphs
Elahe Ghalebi
H. Mahyar
Radu Grosu
Graham W. Taylor
Sinead Williamson
6
0
0
28 May 2019
Consistency of the maximum likelihood and variational estimators in a
  dynamic stochastic block model
Consistency of the maximum likelihood and variational estimators in a dynamic stochastic block model
L. Longepierre
C. Matias
6
5
0
11 Mar 2019
Causal Discovery from Heterogeneous/Nonstationary Data with Independent
  Changes
Causal Discovery from Heterogeneous/Nonstationary Data with Independent Changes
Biwei Huang
Kun Zhang
Jiji Zhang
Joseph Ramsey
Ruben Sanchez-Romero
Clark Glymour
Bernhard Schölkopf
8
219
0
05 Mar 2019
A Review of Stochastic Block Models and Extensions for Graph Clustering
A Review of Stochastic Block Models and Extensions for Graph Clustering
Clement Lee
D. Wilkinson
10
196
0
01 Mar 2019
Change Point Estimation in a Dynamic Stochastic Block Model
Change Point Estimation in a Dynamic Stochastic Block Model
M. Bhattacharjee
Moulinath Banerjee
George Michailidis
20
46
0
07 Dec 2018
Block-Structure Based Time-Series Models For Graph Sequences
Block-Structure Based Time-Series Models For Graph Sequences
Mehrnaz Amjadi
Theja Tulabandhula
14
3
0
24 Apr 2018
A Generative Model for Dynamic Networks with Applications
A Generative Model for Dynamic Networks with Applications
Shubham Gupta
Gaurav Sharma
Ambedkar Dukkipati
16
11
0
11 Feb 2018
Model-Based Clustering of Time-Evolving Networks through Temporal
  Exponential-Family Random Graph Models
Model-Based Clustering of Time-Evolving Networks through Temporal Exponential-Family Random Graph Models
Kevin H. Lee
Lingzhou Xue
David R. Hunter
17
23
0
20 Dec 2017
The Block Point Process Model for Continuous-Time Event-Based Dynamic
  Networks
The Block Point Process Model for Continuous-Time Event-Based Dynamic Networks
Ruthwik R. Junuthula
Maysam Haghdan
Kevin S. Xu
Vijay Devabhaktuni
12
30
0
29 Nov 2017
Generating global network structures by triad types
Generating global network structures by triad types
M. Cugmas
A. Ferligoj
A. Žiberna
16
7
0
27 Oct 2017
A Dynamic Edge Exchangeable Model for Sparse Temporal Networks
A Dynamic Edge Exchangeable Model for Sparse Temporal Networks
Yin Cheng Ng
Ricardo M. A. Silva
24
6
0
11 Oct 2017
Block modelling in dynamic networks with non-homogeneous Poisson
  processes and exact ICL
Block modelling in dynamic networks with non-homogeneous Poisson processes and exact ICL
Marco Corneli
Pierre Latouche
F. Rossi
17
14
0
10 Jul 2017
Nonparametric inference for continuous-time event counting and
  link-based dynamic network models
Nonparametric inference for continuous-time event counting and link-based dynamic network models
Alexander Kreiss
E. Mammen
W. Polonik
27
9
0
10 May 2017
Spectral clustering in the dynamic stochastic block model
Spectral clustering in the dynamic stochastic block model
Marianna Pensky
Teng Zhang
18
75
0
02 May 2017
Choosing the number of groups in a latent stochastic block model for
  dynamic networks
Choosing the number of groups in a latent stochastic block model for dynamic networks
Riccardo Rastelli
Pierre Latouche
Nial Friel
20
18
0
05 Feb 2017
Modeling community structure and topics in dynamic text networks
Modeling community structure and topics in dynamic text networks
T. Henry
David L. Banks
Christine P Chai
Derek Owens-Oas
BDL
21
11
0
18 Oct 2016
Semi-supervised Graph Embedding Approach to Dynamic Link Prediction
Semi-supervised Graph Embedding Approach to Dynamic Link Prediction
Ryohei Hisano
26
52
0
14 Oct 2016
Discovering Patterns in Time-Varying Graphs: A Triclustering Approach
Discovering Patterns in Time-Varying Graphs: A Triclustering Approach
Romain Guigourès
Marc Boullé
F. Rossi
24
27
0
29 Aug 2016
Bayesian Learning of Dynamic Multilayer Networks
Bayesian Learning of Dynamic Multilayer Networks
Daniele Durante
Nabanita Mukherjee
R. Steorts
AI4CE
19
24
0
07 Aug 2016
Bayesian Nonparametrics for Sparse Dynamic Networks
Bayesian Nonparametrics for Sparse Dynamic Networks
Cian Naik
François Caron
Judith Rousseau
Yee Whye Teh
Konstantina Palla
19
8
0
06 Jul 2016
Dynamic network models and graphon estimation
Dynamic network models and graphon estimation
Marianna Pensky
28
53
0
03 Jul 2016
Exact ICL maximization in a non-stationary temporal extension of the
  stochastic block model for dynamic networks
Exact ICL maximization in a non-stationary temporal extension of the stochastic block model for dynamic networks
Marco Corneli
Pierre Latouche
F. Rossi
22
25
0
09 May 2016
Discovery and Visualization of Nonstationary Causal Models
Discovery and Visualization of Nonstationary Causal Models
Kun Zhang
Biwei Huang
Jiji Zhang
Bernhard Schölkopf
Clark Glymour
CML
22
13
0
27 Sep 2015
Graphs in machine learning: an introduction
Graphs in machine learning: an introduction
Pierre Latouche
F. Rossi
GNN
AI4CE
26
20
0
23 Jun 2015
Detectability thresholds and optimal algorithms for community structure
  in dynamic networks
Detectability thresholds and optimal algorithms for community structure in dynamic networks
Amir Ghasemian
Pan Zhang
A. Clauset
Cristopher Moore
Leto Peel
23
116
0
19 Jun 2015
Locally Adaptive Dynamic Networks
Locally Adaptive Dynamic Networks
Daniele Durante
David B. Dunson
36
40
0
21 May 2015
Stochastic Block Transition Models for Dynamic Networks
Stochastic Block Transition Models for Dynamic Networks
Kevin S. Xu
30
96
0
19 Nov 2014
Mixed-Membership of Experts Stochastic Blockmodel
Mixed-Membership of Experts Stochastic Blockmodel
Arthur J. White
T. B. Murphy
29
39
0
01 Apr 2014
Dynamic stochastic blockmodels for time-evolving social networks
Dynamic stochastic blockmodels for time-evolving social networks
Kevin S. Xu
Alfred Hero
40
233
0
04 Mar 2014
Graphic-theoretic distributed inference in social networks
Graphic-theoretic distributed inference in social networks
Mohammadreza Doostmohammadian
U. Khan
51
37
0
05 Feb 2014
Nonparametric Bayes dynamic modeling of relational data
Nonparametric Bayes dynamic modeling of relational data
Daniele Durante
David B. Dunson
72
105
0
19 Nov 2013
Activity date estimation in timestamped interaction networks
Activity date estimation in timestamped interaction networks
F. Rossi
Pierre Latouche
61
1
0
18 Oct 2013
Dynamic Infinite Mixed-Membership Stochastic Blockmodel
Dynamic Infinite Mixed-Membership Stochastic Blockmodel
Xuhui Fan
LongBing Cao
R. Xu
45
27
0
13 Jun 2013
Copula Mixed-Membership Stochastic Blockmodel for Intra-Subgroup
  Correlations
Copula Mixed-Membership Stochastic Blockmodel for Intra-Subgroup Correlations
Xuhui Fan
LongBing Cao
R. Xu
31
1
0
12 Jun 2013
A dependent partition-valued process for multitask clustering and time
  evolving network modelling
A dependent partition-valued process for multitask clustering and time evolving network modelling
Konstantina Palla
David A. Knowles
Zoubin Ghahramani
44
3
0
13 Mar 2013
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