v1v2 (latest)

Model Selection for Degree-corrected Block Models

17 July 2012

Lenka Zdeborova

Pan Zhang

Yaojia Zhu

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Papers citing "Model Selection for Degree-corrected Block Models"

38 / 38 papers shown

Title
Refined Graph Encoder Embedding via Self-Training and Latent Community Recovery Cencheng Shen Jonathan Larson Ha Trinh Carey E. Priebe 94 2 0 21 May 2024
Hybrid of node and link communities for graphon estimation Arthur Verdeyme S. Olhede 99 1 0 10 Jan 2024
Consistent model selection for the Degree Corrected Stochastic Blockmodel Andressa Cerqueira S. Gallo Florencia Leonardi C. Vera 67 2 0 07 Feb 2023
A Bayesian Nonparametric Stochastic Block Model for Directed Acyclic Graphs Clement D Lee Marco Battiston 78 0 0 18 Jan 2023
Descriptive vs. inferential community detection in networks: pitfalls, myths, and half-truths Tiago P. Peixoto 122 47 0 30 Nov 2021
Spectral goodness-of-fit tests for complete and partial network data Shane Lubold Bolun Liu Tyler H. McCormick 69 3 0 17 Jun 2021
Hypothesis Testing for Equality of Latent Positions in Random Graphs Xinjie Du M. Tang 63 11 0 23 May 2021
Community Detection in Weighted Multilayer Networks with Ambient Noise Mark He Dylan Lu Jason Xu R. Xavier 87 0 0 24 Feb 2021
Adjusted chi-square test for degree-corrected block models Linfan Zhang Arash A. Amini 58 6 0 30 Dec 2020
An empirical Bayes Approach to stochastic blockmodels and graphons: shrinkage estimation and model selection Zhanhao Peng Qing Zhou 25 0 0 12 Jun 2020
Community Detection in Bipartite Networks with Stochastic Blockmodels Tzu-Chi Yen D. Larremore 86 27 0 22 Jan 2020
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 60 6 0 26 Aug 2019
Algebraic Statistics in Practice: Applications to Networks M. Casanellas S. Petrović Caroline Uhler 32 4 0 23 Jun 2019
Adapting Stochastic Block Models to Power-Law Degree Distributions Maoying Qiao Jun-chen Yu Wei Bian Qiang Li Dacheng Tao 23 22 0 05 Apr 2019
A Review of Stochastic Block Models and Extensions for Graph Clustering Clement Lee D. Wilkinson 96 203 0 01 Mar 2019
Non-linear Attributed Graph Clustering by Symmetric NMF with PU Learning Seiji Maekawa Koh Takeuchi Makoto Onizuka 31 11 0 21 Sep 2018
Generative models for local network community detection Twan van Laarhoven 19 5 0 12 Apr 2018
Bayesian stochastic blockmodeling Tiago P. Peixoto 191 203 0 29 May 2017
Consistencies and inconsistencies between model selection and link prediction in networks Toni Vallès-Català Tiago P. Peixoto Roger Guimerà Marta Sales-Pardo 86 50 0 22 May 2017
Testing Degree Corrections in Stochastic Block Models Rajarshi Mukherjee S. Sen 42 4 0 22 May 2017
Network cross-validation by edge sampling Tianxi Li Elizaveta Levina Ji Zhu 108 166 0 14 Dec 2016
Nonparametric Bayesian inference of the microcanonical stochastic block model Tiago P. Peixoto 94 169 0 09 Oct 2016
Detection Thresholds for the $β$ -Model on Sparse Graphs Rajarshi Mukherjee Soumendu Sundar Mukherjee S. Sen 50 6 0 05 Aug 2016
Community Detection Algorithm Combining Stochastic Block Model and Attribute Data Clustering Shuníchi Kataoka Takuto Kobayashi Muneki Yasuda Kazuyuki Tanaka 42 3 0 21 Jul 2016
Bayesian Model Selection of Stochastic Block Models Xiaoran Yan 74 35 0 23 May 2016
Clustering on the Edge: Learning Structure in Graphs Matt Barnes A. Dubrawski 32 0 0 05 May 2016
Statistical physics of inference: Thresholds and algorithms Lenka Zdeborová Florent Krzakala AI4CE 133 427 0 08 Nov 2015
Modeling sequences and temporal networks with dynamic community structures Tiago P. Peixoto M. Rosvall 47 124 0 15 Sep 2015
A goodness-of-fit test for stochastic block models Jing Lei 151 185 0 16 Dec 2014
A unified view of generative models for networks: models, methods, opportunities, and challenges Abigail Z. Jacobs A. Clauset 118 31 0 14 Nov 2014
A Generic Sample Splitting Approach for Refined Community Recovery in Stochastic Block Models Jing Lei Lingxue Zhu 150 18 0 06 Nov 2014
Learning Latent Block Structure in Weighted Networks Christopher Aicher Abigail Z. Jacobs A. Clauset 161 311 0 02 Apr 2014
Scalable detection of statistically significant communities and hierarchies, using message-passing for modularity Pan Zhang Cristopher Moore 121 171 0 23 Mar 2014
Detecting change points in the large-scale structure of evolving networks Leto Peel A. Clauset 122 239 0 05 Mar 2014
Modeling heterogeneity in random graphs through latent space models: a selective review C. Matias Stephane S. Robin BDL 141 87 0 18 Feb 2014
A high-reproducibility and high-accuracy method for automated topic classification Andrea Lancichinetti M. Sirer Jane X. Wang Daniel Ernesto Acuna Konrad Paul Kording L. A. N. Amaral 87 99 0 03 Feb 2014
The Infinite Degree Corrected Stochastic Block Model Tue Herlau Mikkel N. Schmidt Morten Mørup 125 22 0 11 Nov 2013
Hierarchical Block Structures and High-resolution Model Selection in Large Networks Tiago P. Peixoto 165 376 0 16 Oct 2013