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A Review of Stochastic Block Models and Extensions for Graph Clustering
v1v2 (latest)

A Review of Stochastic Block Models and Extensions for Graph Clustering

1 March 2019
Clement Lee
D. Wilkinson
ArXiv (abs)PDFHTML

Papers citing "A Review of Stochastic Block Models and Extensions for Graph Clustering"

21 / 21 papers shown
Title
A Dirichlet stochastic block model for composition-weighted networks
A Dirichlet stochastic block model for composition-weighted networks
Iuliia Promskaia
Adrian O'Hagan
Michael Fop
57
1
0
01 Aug 2024
Online Bayesian changepoint detection for network Poisson processes with
  community structure
Online Bayesian changepoint detection for network Poisson processes with community structure
Joshua Corneck
Edward A. K. Cohen
James S. Martin
Francesco Sanna Passino
3DPC
40
2
0
04 Jul 2024
Impact of network topology on the performance of Decentralized Federated
  Learning
Impact of network topology on the performance of Decentralized Federated Learning
Luigi Palmieri
Chiara Boldrini
Lorenzo Valerio
A. Passarella
M. Conti
105
8
0
28 Feb 2024
Restricted Tweedie Stochastic Block Models
Restricted Tweedie Stochastic Block Models
Jie Jian
Mu Zhu
Peijun Sang
132
0
0
17 Oct 2023
General Covariance-Based Conditions for Central Limit Theorems with
  Dependent Triangular Arrays
General Covariance-Based Conditions for Central Limit Theorems with Dependent Triangular Arrays
Arun G. Chandrasekhar
M. Jackson
Tyler H. McCormick
Vydhourie Thiyageswaran
67
1
0
24 Aug 2023
Semiparametric Modeling and Analysis for Longitudinal Network Data
Semiparametric Modeling and Analysis for Longitudinal Network Data
Yinqiu He
Jiajin Sun
Yuang Tian
Z. Ying
Yang Feng
87
1
0
23 Aug 2023
The effect of network topologies on fully decentralized learning: a
  preliminary investigation
The effect of network topologies on fully decentralized learning: a preliminary investigation
Luigi Palmieri
Lorenzo Valerio
Chiara Boldrini
A. Passarella
65
9
0
29 Jul 2023
A Bayesian Nonparametric Stochastic Block Model for Directed Acyclic
  Graphs
A Bayesian Nonparametric Stochastic Block Model for Directed Acyclic Graphs
Clement D Lee
Marco Battiston
80
0
0
18 Jan 2023
flow-based clustering and spectral clustering: a comparison
flow-based clustering and spectral clustering: a comparison
Y. SarcheshmehPour
Yu Tian
Linli Zhang
A. Jung
36
2
0
20 Jun 2022
Sparse Subspace Clustering in Diverse Multiplex Network Model
Sparse Subspace Clustering in Diverse Multiplex Network Model
M. Noroozi
Marianna Pensky
87
9
0
15 Jun 2022
Using Embeddings for Causal Estimation of Peer Influence in Social
  Networks
Using Embeddings for Causal Estimation of Peer Influence in Social Networks
Irina Cristali
Victor Veitch
CML
68
12
0
17 May 2022
Synthetic Graph Generation to Benchmark Graph Learning
Synthetic Graph Generation to Benchmark Graph Learning
Anton Tsitsulin
Benedek Rozemberczki
John Palowitch
Bryan Perozzi
121
29
0
04 Apr 2022
Predicting Voting Outcomes in the Presence of Communities, Echo Chambers
  and Multiple Parties
Predicting Voting Outcomes in the Presence of Communities, Echo Chambers and Multiple Parties
Jacques Bara
Omer Lev
P. Turrini
56
6
0
08 Feb 2022
Identifying bias in cluster quality metrics
Identifying bias in cluster quality metrics
Martí Renedo-Mirambell
A. Arratia
59
3
0
12 Dec 2021
Partition and Code: learning how to compress graphs
Partition and Code: learning how to compress graphs
Giorgos Bouritsas
Andreas Loukas
Nikolaos Karalias
M. Bronstein
83
13
0
05 Jul 2021
Alignment and Comparison of Directed Networks via Transition Couplings
  of Random Walks
Alignment and Comparison of Directed Networks via Transition Couplings of Random Walks
Bongsoo Yi
Kevin O'Connor
K. Mcgoff
A. Nobel
OT
67
3
0
13 Jun 2021
Consistent Spectral Clustering of Network Block Models under Local
  Differential Privacy
Consistent Spectral Clustering of Network Block Models under Local Differential Privacy
J. Hehir
Aleksandra B. Slavkovic
Xiaoyue Niu
59
9
0
26 May 2021
What are higher-order networks?
What are higher-order networks?
C. Bick
Elizabeth Gross
Heather A. Harrington
Michael T. Schaub
179
289
0
20 Apr 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
Hongzhi Zhang
Philip S. Yu
Weixiong Zhang
GNN
184
288
0
03 Jan 2021
Extended Stochastic Block Models with Application to Criminal Networks
Extended Stochastic Block Models with Application to Criminal Networks
Sirio Legramanti
T. Rigon
Daniele Durante
David B. Dunson
68
22
0
16 Jul 2020
The role of exchangeability in causal inference
The role of exchangeability in causal inference
O. Saarela
D. Stephens
E. Moodie
126
7
0
02 Jun 2020
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