Statistical inference on random dot product graphs: a survey

16 September 2017

Youngser Park

Carey E. Priebe

Papers citing "Statistical inference on random dot product graphs: a survey"

34 / 34 papers shown

Title
Weighted Random Dot Product Graphs Bernardo Marenco P. Bermolen Marcelo Fiori Federico Larroca Gonzalo Mateos 40 1 0 06 May 2025
Principal Graph Encoder Embedding and Principal Community Detection Cencheng Shen Yuexiao Dong Carey E. Priebe Jonathan Larson Ha Trinh Youngser Park 68 1 0 28 Jan 2025
Exploiting Observation Bias to Improve Matrix Completion Yassir Jedra Sean Mann Charlotte Park Devavrat Shah 33 1 0 03 Jan 2025
Network two-sample test for block models Chung Kyong Nguen Oscar Hernan Madrid Padilla Arash A. Amini 30 0 0 10 Jun 2024
Refined Graph Encoder Embedding via Self-Training and Latent Community Recovery Cencheng Shen Jonathan Larson Ha Trinh Carey E. Priebe 43 2 0 21 May 2024
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 13 0 0 18 Dec 2023
Semiparametric Modeling and Analysis for Longitudinal Network Data Yinqiu He Jiajin Sun Yuang Tian Z. Ying Yang Feng 35 1 0 23 Aug 2023
Gradient-Based Spectral Embeddings of Random Dot Product Graphs Marcelo Fiori Bernardo Marenco Federico Larroca P. Bermolen Gonzalo Mateos BDL 27 3 0 25 Jul 2023
Comparing Foundation Models using Data Kernels Brandon Duderstadt Hayden S. Helm Carey E. Priebe 21 5 0 09 May 2023
Fitting Low-rank Models on Egocentrically Sampled Partial Networks G. Chan Tianxi Li EgoV 16 1 0 09 Mar 2023
Implications of sparsity and high triangle density for graph representation learning Hannah Sansford Alexander Modell N. Whiteley Patrick Rubin-Delanchy 25 1 0 27 Oct 2022
From Local to Global: Spectral-Inspired Graph Neural Networks Ningyuan Huang Soledad Villar Carey E. Priebe Da Zheng Cheng-Fu Huang Lin F. Yang Vladimir Braverman 20 14 0 24 Sep 2022
Adversarial contamination of networks in the setting of vertex nomination: a new trimming method Sheyda Peyman M. Tang V. Lyzinski AAML 28 0 0 20 Aug 2022
Optimal Clustering by Lloyd Algorithm for Low-Rank Mixture Model Zhongyuan Lyu Dong Xia 29 3 0 11 Jul 2022
Network change point localisation under local differential privacy Mengchu Li Thomas B. Berrett Yi Yu 27 7 0 14 May 2022
Clustered Graph Matching for Label Recovery and Graph Classification Zhirui Li Jesús Arroyo Konstantinos Pantazis V. Lyzinski FedML 16 1 0 06 May 2022
Mental State Classification Using Multi-graph Features Guodong Chen Hayden S. Helm Kate Lytvynets Weiwei Yang Carey E. Priebe 21 8 0 25 Feb 2022
Online Change Point Detection for Weighted and Directed Random Dot Product Graphs Bernardo Marenco P. Bermolen Marcelo Fiori Federico Larroca Gonzalo Mateos 21 10 0 26 Jan 2022
$Asymptotics of $\ell_2$ Regularized Network Embeddings$ Asymptotics of $\ell_2$ Regularized Network Embeddings A. Davison 23 0 0 05 Jan 2022
Modularity maximisation for graphons F. Klimm N. Jones Michael T. Schaub 16 1 0 02 Jan 2021
Extended Stochastic Block Models with Application to Criminal Networks Sirio Legramanti T. Rigon Daniele Durante David B. Dunson 30 21 0 16 Jul 2020
On Two Distinct Sources of Nonidentifiability in Latent Position Random Graph Models Joshua Agterberg M. Tang Carey E. Priebe CML 19 9 0 31 Mar 2020
The impossibility of low rank representations for triangle-rich complex networks C. Seshadhri Aneesh Sharma Andrew Stolman Ashish Goel GNN 9 67 0 27 Mar 2020
Efficient Estimation for Random Dot Product Graphs via a One-step Procedure Fangzheng Xie Yanxun Xu 27 21 0 10 Oct 2019
Hyperlink Regression via Bregman Divergence Akifumi Okuno Hidetoshi Shimodaira 17 6 0 22 Jul 2019
A Multivariate Extreme Value Theory Approach to Anomaly Clustering and Visualization Maël Chiapino Stéphan Clémençon Vincent Feuillard Anne Sabourin 14 11 0 17 Jul 2019
Blind identification of stochastic block models from dynamical observations Michael T. Schaub Santiago Segarra J. Tsitsiklis 14 33 0 22 May 2019
Learning by Unsupervised Nonlinear Diffusion Mauro Maggioni James M. Murphy DiffM 22 40 0 15 Oct 2018
Physics-Driven Regularization of Deep Neural Networks for Enhanced Engineering Design and Analysis M. A. Nabian Hadi Meidani PINN AI4CE 13 57 0 11 Oct 2018
Unseeded low-rank graph matching by transform-based unsupervised point registration Yuan Zhang 16 6 0 12 Jul 2018
Matched Filters for Noisy Induced Subgraph Detection D. Sussman Youngser Park Carey E. Priebe V. Lyzinski 16 31 0 06 Mar 2018
Network Representation Using Graph Root Distributions Jing Lei 43 31 0 27 Feb 2018
Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels Peter J. Bickel David S. Choi Xiangyu Chang Hai Zhang 60 220 0 04 Jul 2012
A survey of statistical network models Anna Goldenberg A. Zheng S. Fienberg E. Airoldi 122 976 0 29 Dec 2009