Connectome Smoothing via Low-rank Approximations

Connectome Smoothing via Low-rank Approximations

6 September 2016

Joshua T. Vogelstein

Carey E. Priebe

Papers citing "Connectome Smoothing via Low-rank Approximations"

6 / 6 papers shown

Title
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 21 0 0 18 Dec 2023
Clustered Graph Matching for Label Recovery and Graph Classification Zhirui Li Jesús Arroyo Konstantinos Pantazis V. Lyzinski FedML 24 1 0 06 May 2022
Online Change Point Detection for Weighted and Directed Random Dot Product Graphs Bernardo Marenco P. Bermolen Marcelo Fiori Federico Larroca Gonzalo Mateos 42 10 0 26 Jan 2022
The multilayer random dot product graph Andrew Jones Patrick Rubin-Delanchy 19 35 0 20 Jul 2020
Bias-Variance Tradeoffs in Joint Spectral Embeddings Benjamin Draves D. Sussman 25 9 0 05 May 2020
Efficient Estimation for Random Dot Product Graphs via a One-step Procedure Fangzheng Xie Yanxun Xu 27 21 0 10 Oct 2019