Community Detection and Classification in Hierarchical Stochastic Blockmodels

7 March 2015

V. Lyzinski

M. Tang

A. Athreya

Youngser Park

Carey E. Priebe

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Papers citing "Community Detection and Classification in Hierarchical Stochastic Blockmodels"

24 / 24 papers shown

Title
Weighted Random Dot Product Graphs Bernardo Marenco P. Bermolen Marcelo Fiori Federico Larroca Gonzalo Mateos 50 1 0 06 May 2025
Detection of Model-based Planted Pseudo-cliques in Random Dot Product Graphs by the Adjacency Spectral Embedding and the Graph Encoder Embedding Tong Qi V. Lyzinski 38 0 0 18 Dec 2023
Gradient-Based Spectral Embeddings of Random Dot Product Graphs Marcelo Fiori Bernardo Marenco Federico Larroca P. Bermolen Gonzalo Mateos BDL 29 3 0 25 Jul 2023
Decentralized core-periphery structure in social networks accelerates cultural innovation in agent-based model Jesse Milzman Cody Moser 18 0 0 23 Feb 2023
Dynamic Network Sampling for Community Detection Cong Mu Youngser Park Carey E. Priebe 40 3 0 29 Aug 2022
Adversarial contamination of networks in the setting of vertex nomination: a new trimming method Sheyda Peyman M. Tang V. Lyzinski AAML 35 0 0 20 Aug 2022
Statistical inference of random graphs with a surrogate likelihood function Dingbo Wu Fangzheng Xie 23 2 0 04 Jul 2022
Matrix Completion with Hierarchical Graph Side Information Adel M. Elmahdy Junhyung Ahn Changho Suh S. Mohajer 23 15 0 02 Jan 2022
On the Fundamental Limits of Matrix Completion: Leveraging Hierarchical Similarity Graphs Junhyung Ahn Adel M. Elmahdy S. Mohajer Changho Suh 30 7 0 12 Sep 2021
Inducing a hierarchy for multi-class classification problems Hayden S. Helm Weiwei Yang Sujeeth Bharadwaj Kate Lytvynets Oriana Riva Christopher M. White Ali Geisa Carey E. Priebe 16 7 0 20 Feb 2021
GraphAttacker: A General Multi-Task GraphAttack Framework Jinyin Chen Dunjie Zhang Zhaoyan Ming Kejie Huang Wenrong Jiang Chen Cui AAML 41 14 0 18 Jan 2021
The multilayer random dot product graph Andrew Jones Patrick Rubin-Delanchy 19 35 0 20 Jul 2020
Manifold structure in graph embeddings Patrick Rubin-Delanchy 24 25 0 09 Jun 2020
Bias-Variance Tradeoffs in Joint Spectral Embeddings Benjamin Draves D. Sussman 30 9 0 05 May 2020
Community Detection on Mixture Multi-layer Networks via Regularized Tensor Decomposition Bing-Yi Jing Ting Li Zhongyuan Lyu Dong Xia 40 64 0 10 Feb 2020
Vertex Nomination, Consistent Estimation, and Adversarial Modification Joshua Agterberg Youngser Park Jonathan Larson Christopher M. White Carey E. Priebe V. Lyzinski 40 16 0 06 May 2019
clusterNOR: A NUMA-Optimized Clustering Framework Disa Mhembere Da Zheng Carey E. Priebe Joshua T. Vogelstein Randal C. Burns FedML 27 3 0 24 Feb 2019
On spectral embedding performance and elucidating network structure in stochastic block model graphs Joshua Cape M. Tang Carey E. Priebe 16 23 0 14 Aug 2018
Hierarchical Graph Clustering using Node Pair Sampling Thomas Bonald Bertrand Charpentier Alexis Galland Alexandre Hollocou 29 53 0 05 Jun 2018
A statistical interpretation of spectral embedding: the generalised random dot product graph Patrick Rubin-Delanchy Joshua Cape M. Tang Carey E. Priebe 28 128 0 16 Sep 2017
Statistical inference on random dot product graphs: a survey A. Athreya D. E. Fishkind Keith D. Levin V. Lyzinski Youngser Park Yichen Qin D. Sussman M. Tang Joshua T. Vogelstein Carey E. Priebe 28 247 0 16 Sep 2017
Semiparametric spectral modeling of the Drosophila connectome Carey E. Priebe Youngser Park M. Tang A. Athreya V. Lyzinski ... Yichen Qin Benjamin T. Cocanougher K. Eichler Marta Zlatic Albert Cardona 32 28 0 09 May 2017
knor: A NUMA-Optimized In-Memory, Distributed and Semi-External-Memory k-means Library Disa Mhembere Da Zheng Carey E. Priebe Joshua T. Vogelstein Randal C. Burns 32 0 0 28 Jun 2016
The Kato--Temple inequality and eigenvalue concentration with applications to graph inference Joshua Cape M. Tang Carey E. Priebe 24 7 0 19 Mar 2016