A Review of Stochastic Block Models and Extensions for Graph Clustering

1 March 2019

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

17 / 17 papers shown

Title
PieClam: A Universal Graph Autoencoder Based on Overlapping Inclusive and Exclusive Communities Daniel Zilberg Ron Levie 36 0 0 18 Sep 2024
Differentially private exact recovery for stochastic block models Dung Nguyen Anil Vullikanti 45 2 0 04 Jun 2024
Impact of network topology on the performance of Decentralized Federated Learning Luigi Palmieri C. Boldrini Lorenzo Valerio A. Passarella M. Conti 44 6 0 28 Feb 2024
Inference and Visualization of Community Structure in Attributed Hypergraphs Using Mixed-Membership Stochastic Block Models Kazuki Nakajima Takeaki Uno 55 0 0 01 Jan 2024
Social Learning in Community Structured Graphs Valentina Shumovskaia Mert Kayaalp Ali H. Sayed 24 2 0 19 Dec 2023
Symmetrical SyncMap for Imbalanced General Chunking Problems Heng Zhang Danilo Vasconcellos Vargas 18 0 0 16 Oct 2023
Semiparametric Modeling and Analysis for Longitudinal Network Data Yinqiu He Jiajin Sun Yuang Tian Z. Ying Yang Feng 39 1 0 23 Aug 2023
The effect of network topologies on fully decentralized learning: a preliminary investigation Luigi Palmieri Lorenzo Valerio C. Boldrini A. Passarella 29 9 0 29 Jul 2023
Efficient preconditioned stochastic gradient descent for estimation in latent variable models C. Baey Maud Delattre E. Kuhn Jean-Benoist Léger Sarah Lemler 21 4 0 22 Jun 2023
A Comprehensive Survey on Graph Summarization with Graph Neural Networks Nasrin Shabani Jia Wu Amin Beheshti Quan.Z Sheng Jin Foo Venus Haghighi Ambreen Hanif Maryam Shahabikargar GNN AI4TS 40 12 0 13 Feb 2023
A Bayesian Nonparametric Stochastic Block Model for Directed Acyclic Graphs Clement D Lee Marco Battiston 25 0 0 18 Jan 2023
Predicting Voting Outcomes in the Presence of Communities, Echo Chambers and Multiple Parties Jacques Bara Omer Lev P. Turrini 11 6 0 08 Feb 2022
Identifying bias in cluster quality metrics Martí Renedo-Mirambell A. Arratia 16 3 0 12 Dec 2021
Extended Stochastic Block Models with Application to Criminal Networks Sirio Legramanti T. Rigon Daniele Durante David B. Dunson 35 21 0 16 Jul 2020
The role of exchangeability in causal inference O. Saarela D. Stephens E. Moodie 36 5 0 02 Jun 2020
Scalable MCMC for Mixed Membership Stochastic Blockmodels Wenzhe Li Sungjin Ahn Max Welling BDL 34 42 0 16 Oct 2015
Parsimonious module inference in large networks Tiago P. Peixoto MoE 54 201 0 19 Dec 2012