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0901.0135
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A state-space mixed membership blockmodel for dynamic network tomography
31 December 2008
Eric Xing
Wenjie Fu
Le Song
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Papers citing
"A state-space mixed membership blockmodel for dynamic network tomography"
50 / 58 papers shown
Tensor State Space-based Dynamic Multilayer Network Modeling
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Jie Guo
Chen Zhang
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Efficient Discovery of Motif Transition Process for Large-Scale Temporal Graphs
Zhiyuan Zheng
Haobing Liu
Jiantao Li
Guoqing Chao
Junyu Dong
Yanwei Yu
398
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22 Apr 2025
Network Tomography with Path-Centric Graph Neural Network
Yuntong Hu
Junxiang Wang
Bo Pan
355
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23 Feb 2025
Scaling up Dynamic Edge Partition Models via Stochastic Gradient MCMC
Sikun Yang
Heinz Koeppl
281
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0
29 Feb 2024
Federated Causal Discovery from Heterogeneous Data
Loka Li
Ignavier Ng
Gongxu Luo
Erdun Gao
Guan-Hong Chen
Tongliang Liu
Bin Gu
Kun Zhang
FedML
336
16
0
20 Feb 2024
Restricted Tweedie Stochastic Block Models
Canadian journal of statistics (CJS), 2023
Jie Jian
Mu Zhu
Peijun Sang
290
2
0
17 Oct 2023
Using Motif Transitions for Temporal Graph Generation
Knowledge Discovery and Data Mining (KDD), 2023
Penghang Liu
Ahmet Erdem Sarıyüce
268
16
0
19 Jun 2023
Dynamic Mixed Membership Stochastic Block Model for Weighted Labeled Networks
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Gael Poux-Medard
Julien Velcin
Sabine Loudcher
345
3
0
12 Apr 2023
Structured Optimal Variational Inference for Dynamic Latent Space Models
Penghui Zhao
A. Bhattacharya
D. Pati
Bani Mallick
BDL
381
5
0
29 Sep 2022
Spectral embedding for dynamic networks with stability guarantees
Neural Information Processing Systems (NeurIPS), 2021
Ian Gallagher
Andrew Jones
Patrick Rubin-Delanchy
262
31
0
02 Jun 2021
Learning a Latent Simplex in Input-Sparsity Time
International Conference on Learning Representations (ICLR), 2021
Ainesh Bakshi
Chiranjib Bhattacharyya
R. Kannan
David P. Woodruff
Samson Zhou
394
14
0
17 May 2021
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Di Jin
Zhizhi Yu
Pengfei Jiao
Shirui Pan
Dongxiao He
Hongzhi Zhang
Philip S. Yu
Weixiong Zhang
GNN
444
362
0
03 Jan 2021
Struct-MMSB: Mixed Membership Stochastic Blockmodels with Interpretable Structured Priors
European Conference on Artificial Intelligence (ECAI), 2020
Yue Zhang
Arti Ramesh
199
2
0
21 Feb 2020
Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs
Tony Gracious
Shubham Gupta
Arun Kanthali
Rui M. Castro
Ambedkar Dukkipati
BDL
441
0
0
26 Nov 2019
Role Detection in Bicycle-Sharing Networks Using Multilayer Stochastic Block Models
Network Science (NS), 2019
Jane Carlen
Jaume de Dios Pont
C. Mentus
Shyr-Shea Chang
Stephanie Wang
M. A. Porter
262
8
0
26 Aug 2019
CHIP: A Hawkes Process Model for Continuous-time Networks with Scalable and Consistent Estimation
Makan Arastuie
Subhadeep Paul
Kevin S. Xu
465
2
0
19 Aug 2019
Sequential Edge Clustering in Temporal Multigraphs
Elahe Ghalebi
H. Mahyar
Radu Grosu
Graham W. Taylor
Sinead Williamson
602
0
0
28 May 2019
Consistency of the maximum likelihood and variational estimators in a dynamic stochastic block model
L. Longepierre
C. Matias
352
5
0
11 Mar 2019
Causal Discovery from Heterogeneous/Nonstationary Data with Independent Changes
Journal of machine learning research (JMLR), 2019
Erdun Gao
Kun Zhang
Jiji Zhang
Joseph Ramsey
Ruben Sanchez-Romero
Clark Glymour
Bernhard Schölkopf
563
288
0
05 Mar 2019
A Review of Stochastic Block Models and Extensions for Graph Clustering
Applied Network Science (Appl Netw Sci), 2019
Clement Lee
D. Wilkinson
421
244
0
01 Mar 2019
Change Point Estimation in a Dynamic Stochastic Block Model
M. Bhattacharjee
Moulinath Banerjee
George Michailidis
475
59
0
07 Dec 2018
Block-Structure Based Time-Series Models For Graph Sequences
Mehrnaz Amjadi
Theja Tulabandhula
350
3
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24 Apr 2018
A Generative Model for Dynamic Networks with Applications
Shubham Gupta
Gaurav Sharma
Ambedkar Dukkipati
478
15
0
11 Feb 2018
Model-Based Clustering of Time-Evolving Networks through Temporal Exponential-Family Random Graph Models
Journal of Multivariate Analysis (J. Multivar. Anal.), 2017
Kevin H. Lee
Lingzhou Xue
David R. Hunter
310
23
0
20 Dec 2017
The Block Point Process Model for Continuous-Time Event-Based Dynamic Networks
Ruthwik R. Junuthula
Maysam Haghdan
Kevin S. Xu
Vijay Devabhaktuni
446
31
0
29 Nov 2017
Generating global network structures by triad types
PLoS ONE (PLOS ONE), 2017
M. Cugmas
A. Ferligoj
A. Žiberna
294
9
0
27 Oct 2017
A Dynamic Edge Exchangeable Model for Sparse Temporal Networks
Yin Cheng Ng
Ricardo M. A. Silva
341
6
0
11 Oct 2017
Block modelling in dynamic networks with non-homogeneous Poisson processes and exact ICL
Marco Corneli
Pierre Latouche
F. Rossi
266
16
0
10 Jul 2017
Nonparametric inference for continuous-time event counting and link-based dynamic network models
Alexander Kreiss
E. Mammen
W. Polonik
385
14
0
10 May 2017
Spectral clustering in the dynamic stochastic block model
Marianna Pensky
Teng Zhang
375
83
0
02 May 2017
Choosing the number of groups in a latent stochastic block model for dynamic networks
Network Science (NS), 2017
Riccardo Rastelli
Pierre Latouche
Nial Friel
284
19
0
05 Feb 2017
Modeling community structure and topics in dynamic text networks
T. Henry
David L. Banks
Christine P Chai
Derek Owens-Oas
BDL
178
12
0
18 Oct 2016
Semi-supervised Graph Embedding Approach to Dynamic Link Prediction
Ryohei Hisano
287
56
0
14 Oct 2016
Discovering Patterns in Time-Varying Graphs: A Triclustering Approach
Advances in Data Analysis and Classification (ADAC), 2015
Romain Guigourès
Marc Boullé
F. Rossi
384
27
0
29 Aug 2016
Bayesian Learning of Dynamic Multilayer Networks
Daniele Durante
Nabanita Mukherjee
R. Steorts
AI4CE
384
27
0
07 Aug 2016
Bayesian Nonparametrics for Sparse Dynamic Networks
Cian Naik
François Caron
Judith Rousseau
Yee Whye Teh
Konstantina Palla
487
8
0
06 Jul 2016
Dynamic network models and graphon estimation
Annals of Statistics (Ann. Stat.), 2016
Marianna Pensky
593
58
0
03 Jul 2016
Exact ICL maximization in a non-stationary temporal extension of the stochastic block model for dynamic networks
Marco Corneli
Pierre Latouche
F. Rossi
405
25
0
09 May 2016
Discovery and Visualization of Nonstationary Causal Models
Kun Zhang
Erdun Gao
Jiji Zhang
Bernhard Schölkopf
Clark Glymour
CML
953
14
0
27 Sep 2015
Graphs in machine learning: an introduction
Pierre Latouche
F. Rossi
GNN
AI4CE
356
22
0
23 Jun 2015
Detectability thresholds and optimal algorithms for community structure in dynamic networks
Amir Ghasemian
Pan Zhang
A. Clauset
Cristopher Moore
Leto Peel
446
124
0
19 Jun 2015
Locally Adaptive Dynamic Networks
Daniele Durante
David B. Dunson
435
41
0
21 May 2015
Stochastic Block Transition Models for Dynamic Networks
International Conference on Artificial Intelligence and Statistics (AISTATS), 2014
Kevin S. Xu
371
101
0
19 Nov 2014
Mixed-Membership of Experts Stochastic Blockmodel
Network Science (NS), 2014
Arthur J. White
T. B. Murphy
423
40
0
01 Apr 2014
Dynamic stochastic blockmodels for time-evolving social networks
IEEE Journal on Selected Topics in Signal Processing (JSTSP), 2014
Kevin S. Xu
Alfred Hero
430
247
0
04 Mar 2014
Graphic-theoretic distributed inference in social networks
IEEE Journal on Selected Topics in Signal Processing (JSTSP), 2014
Mohammadreza Doostmohammadian
U. Khan
364
41
0
05 Feb 2014
Nonparametric Bayes dynamic modeling of relational data
Daniele Durante
David B. Dunson
453
115
0
19 Nov 2013
Activity date estimation in timestamped interaction networks
The European Symposium on Artificial Neural Networks (ESANN), 2013
F. Rossi
Pierre Latouche
406
1
0
18 Oct 2013
Dynamic Infinite Mixed-Membership Stochastic Blockmodel
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2013
Xuhui Fan
LongBing Cao
R. Xu
332
29
0
13 Jun 2013
Copula Mixed-Membership Stochastic Blockmodel for Intra-Subgroup Correlations
Xuhui Fan
LongBing Cao
R. Xu
455
1
0
12 Jun 2013
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