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Infinite Edge Partition Models for Overlapping Community Detection and
  Link Prediction
v1v2 (latest)

Infinite Edge Partition Models for Overlapping Community Detection and Link Prediction

25 January 2015
Mingyuan Zhou
ArXiv (abs)PDFHTML

Papers citing "Infinite Edge Partition Models for Overlapping Community Detection and Link Prediction"

33 / 33 papers shown
Title
Variational Pseudo Marginal Methods for Jet Reconstruction in Particle Physics
Variational Pseudo Marginal Methods for Jet Reconstruction in Particle Physics
Hanming Yang
A. Moretti
Sebastian Macaluso
Philippe Chlenski
C. A. Naesseth
I. Pe’er
BDL
147
1
0
03 Jan 2025
Nested stochastic block model for simultaneously clustering networks and nodes
Nested stochastic block model for simultaneously clustering networks and nodes
Nathaniel Josephs
Arash A. Amini
M. Paez
Lizhen Lin
62
4
0
18 Jul 2023
Ordinal Graph Gamma Belief Network for Social Recommender Systems
Ordinal Graph Gamma Belief Network for Social Recommender Systems
Dongsheng Wang
Chaojie Wang
Bo Chen
Mingyuan Zhou
CMLBDL
46
0
0
12 Sep 2022
A majorization-minimization algorithm for nonnegative binary matrix
  factorization
A majorization-minimization algorithm for nonnegative binary matrix factorization
P. Magron
Cédric Févotte
16
4
0
20 Apr 2022
Bayesian community detection for networks with covariates
Bayesian community detection for networks with covariates
Luyi W. Shen
Arash A. Amini
Nathaniel Josephs
Lizhen Lin
56
6
0
04 Mar 2022
A Variational Edge Partition Model for Supervised Graph Representation
  Learning
A Variational Edge Partition Model for Supervised Graph Representation Learning
Yingying He
Chaojie Wang
Hao Zhang
Bo Chen
Mingyuan Zhou
67
5
0
07 Feb 2022
Struct-MMSB: Mixed Membership Stochastic Blockmodels with Interpretable
  Structured Priors
Struct-MMSB: Mixed Membership Stochastic Blockmodels with Interpretable Structured Priors
Yue Zhang
Arti Ramesh
70
2
0
21 Feb 2020
Scalable Deep Generative Relational Models with High-Order Node
  Dependence
Scalable Deep Generative Relational Models with High-Order Node Dependence
Xuhui Fan
Bin Li
Scott A. Sisson
Caoyuan Li
Ling-Hao Chen
BDL
27
10
0
04 Nov 2019
Overlapping Community Detection with Graph Neural Networks
Overlapping Community Detection with Graph Neural Networks
Oleksandr Shchur
Stephan Günnemann
GNN
75
133
0
26 Sep 2019
Semi-Implicit Graph Variational Auto-Encoders
Semi-Implicit Graph Variational Auto-Encoders
Arman Hasanzadeh
Ehsan Hajiramezanali
N. Duffield
Krishna R. Narayanan
Mingyuan Zhou
Xiaoning Qian
BDLGNN
77
132
0
19 Aug 2019
vGraph: A Generative Model for Joint Community Detection and Node
  Representation Learning
vGraph: A Generative Model for Joint Community Detection and Node Representation Learning
Fan-Yun Sun
Meng Qu
Jordan Hoffmann
Chin-Wei Huang
Jian Tang
BDL
123
92
0
18 Jun 2019
Sequential Edge Clustering in Temporal Multigraphs
Sequential Edge Clustering in Temporal Multigraphs
Elahe Ghalebi
H. Mahyar
Radu Grosu
Graham W. Taylor
Sinead Williamson
149
0
0
28 May 2019
A unified construction for series representations and finite
  approximations of completely random measures
A unified construction for series representations and finite approximations of completely random measures
Juho Lee
Xenia Miscouridou
François Caron
51
7
0
26 May 2019
Variational Hetero-Encoder Randomized GANs for Joint Image-Text Modeling
Variational Hetero-Encoder Randomized GANs for Joint Image-Text Modeling
Hao Zhang
Bo Chen
Long Tian
Zhengjue Wang
Mingyuan Zhou
DRL
67
7
0
18 May 2019
Stochastic Blockmodels meet Graph Neural Networks
Stochastic Blockmodels meet Graph Neural Networks
Nikhil Mehta
Lawrence Carin
Piyush Rai
BDL
66
83
0
14 May 2019
Convolutional Poisson Gamma Belief Network
Convolutional Poisson Gamma Belief Network
Chaojie Wang
Bo Chen
Sucheng Xiao
Mingyuan Zhou
87
15
0
14 May 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
85
203
0
01 Mar 2019
Bayesian Mean-parameterized Nonnegative Binary Matrix Factorization
Bayesian Mean-parameterized Nonnegative Binary Matrix Factorization
Alberto Lumbreras
Louis Filstroff
Cédric Févotte
68
15
0
17 Dec 2018
Dirichlet belief networks for topic structure learning
Dirichlet belief networks for topic structure learning
He Zhao
Lan Du
Wray Buntine
Mingyuan Zhou
OODBDL
67
44
0
02 Nov 2018
Collapsed Variational Inference for Nonparametric Bayesian Group Factor
  Analysis
Collapsed Variational Inference for Nonparametric Bayesian Group Factor Analysis
Sikun Yang
Heinz Koeppl
CML
18
1
0
10 Sep 2018
Small-Variance Asymptotics for Nonparametric Bayesian Overlapping
  Stochastic Blockmodels
Small-Variance Asymptotics for Nonparametric Bayesian Overlapping Stochastic Blockmodels
Gundeep Arora
Anupreet Porwal
Kanupriya Agarwal
Avani Samdariya
Piyush Rai
37
3
0
10 Jul 2018
Parsimonious Bayesian deep networks
Parsimonious Bayesian deep networks
Mingyuan Zhou
BDL
43
8
0
22 May 2018
Locally Private Bayesian Inference for Count Models
Locally Private Bayesian Inference for Count Models
Aaron Schein
Zhiwei Steven Wu
Alexandra Schofield
Mingyuan Zhou
Hanna M. Wallach
154
37
0
22 Mar 2018
Nonparametric Bayesian Sparse Graph Linear Dynamical Systems
Nonparametric Bayesian Sparse Graph Linear Dynamical Systems
Rahi Kalantari
Joydeep Ghosh
Mingyuan Zhou
59
4
0
21 Feb 2018
Community Detection in Partially Observable Social Networks
Community Detection in Partially Observable Social Networks
Cong Tran
Won-Yong Shin
Andreas Spitz
68
34
0
30 Dec 2017
Leveraging Node Attributes for Incomplete Relational Data
Leveraging Node Attributes for Incomplete Relational Data
He Zhao
Lan Du
Wray Buntine
64
45
0
14 Jun 2017
Random Walk Models of Network Formation and Sequential Monte Carlo
  Methods for Graphs
Random Walk Models of Network Formation and Sequential Monte Carlo Methods for Graphs
Benjamin Bloem-Reddy
Peter Orbanz
60
21
0
19 Dec 2016
Softplus Regressions and Convex Polytopes
Softplus Regressions and Convex Polytopes
Mingyuan Zhou
75
16
0
23 Aug 2016
Bayesian Poisson Tucker Decomposition for Learning the Structure of
  International Relations
Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations
Aaron Schein
Mingyuan Zhou
David M. Blei
Hanna M. Wallach
68
89
0
06 Jun 2016
Exchangeable Random Measures for Sparse and Modular Graphs with
  Overlapping Communities
Exchangeable Random Measures for Sparse and Modular Graphs with Overlapping Communities
A. Todeschini
Xenia Miscouridou
François Caron
136
43
0
05 Feb 2016
Gamma Belief Networks
Gamma Belief Networks
Mingyuan Zhou
Yulai Cong
Bo Chen
BDL
108
87
0
09 Dec 2015
Stochastic gradient variational Bayes for gamma approximating
  distributions
Stochastic gradient variational Bayes for gamma approximating distributions
David A. Knowles
BDL
135
51
0
04 Sep 2015
Zero-Truncated Poisson Tensor Factorization for Massive Binary Tensors
Zero-Truncated Poisson Tensor Factorization for Massive Binary Tensors
Changwei Hu
Piyush Rai
Lawrence Carin
87
37
0
18 Aug 2015
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