Signal Recovery from Random Dot-Product Graphs Under Local Differential Privacy

24 April 2025

Papers citing "Signal Recovery from Random Dot-Product Graphs Under Local Differential Privacy"

20 / 20 papers shown

Title
PriME: Privacy-aware Membership profile Estimation in networks Abhinav Chakraborty Sayak Chatterjee Sagnik Nandy 112 1 0 04 Jun 2024
Minimax rates for latent position estimation in the generalized random dot product graph Hao Yan Keith D. Levin 83 2 0 04 Jul 2023
Network change point localisation under local differential privacy Mengchu Li Thomas B. Berrett Yi Yu 78 7 0 14 May 2022
Private Graph Data Release: A Survey Yang D. Li M. Purcell Thierry Rakotoarivelo David B. Smith Thilina Ranbaduge K. S. Ng 80 26 0 09 Jul 2021
Consistent Spectral Clustering of Network Block Models under Local Differential Privacy J. Hehir Aleksandra B. Slavkovic Xiaoyue Niu 17 9 0 26 May 2021
Local Differential Privacy Is Equivalent to Contraction of $E_γ$ -Divergence S. Asoodeh Maryam Aliakbarpour Flavio du Pin Calmon 43 30 0 02 Feb 2021
Nonparametric Two-Sample Hypothesis Testing for Random Graphs with Negative and Repeated Eigenvalues Joshua Agterberg M. Tang Carey Priebe 55 15 0 17 Dec 2020
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction Leland McInnes John Healy James Melville 202 9,479 0 09 Feb 2018
An introduction to Topological Data Analysis: fundamental and practical aspects for data scientists Frédéric Chazal Bertrand Michel 103 596 0 11 Oct 2017
A statistical interpretation of spectral embedding: the generalised random dot product graph Patrick Rubin-Delanchy Joshua Cape M. Tang Carey E. Priebe 80 133 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 146 249 0 16 Sep 2017
The two-to-infinity norm and singular subspace geometry with applications to high-dimensional statistics Joshua Cape M. Tang Carey E. Priebe 73 135 0 30 May 2017
Community Detection and Stochastic Block Models Emmanuel Abbe 136 1,200 0 29 Mar 2017
node2vec: Scalable Feature Learning for Networks Aditya Grover J. Leskovec 191 10,924 0 03 Jul 2016
Minimax Rates of Community Detection in Stochastic Block Models A. Zhang Harrison H. Zhou 440 188 0 19 Jul 2015
An Introduction to Matrix Concentration Inequalities J. Tropp 178 1,155 0 07 Jan 2015
Achieving Exact Cluster Recovery Threshold via Semidefinite Programming Bruce Hajek Yihong Wu Jiaming Xu 378 252 0 24 Nov 2014
DeepWalk: Online Learning of Social Representations Bryan Perozzi Rami Al-Rfou Steven Skiena HAI 263 9,809 0 26 Mar 2014
Consistency of spectral clustering in stochastic block models Jing Lei Alessandro Rinaldo 196 607 0 07 Dec 2013
Mixed membership stochastic blockmodels E. Airoldi David M. Blei S. Fienberg Eric Xing 511 2,122 0 30 May 2007