Joint Inference of Multiple Graphs from Matrix Polynomials

16 October 2020

Papers citing "Joint Inference of Multiple Graphs from Matrix Polynomials"

21 / 21 papers shown

Title
Joint Gaussian Graphical Model Estimation: A Survey Katherine Tsai Oluwasanmi Koyejo Mladen Kolar CML 90 22 0 19 Oct 2021
Online Time-Varying Topology Identification via Prediction-Correction Algorithms Alberto Natali M. Coutiño Elvin Isufi G. Leus 61 22 0 22 Oct 2020
rags2ridges: A One-Stop-Shop for Graphical Modeling of High-Dimensional Precision Matrices C. Peeters A. E. Bilgrau W. N. Wieringen CML 21 9 0 12 Oct 2020
Estimating Multiple Precision Matrices with Cluster Fusion Regularization Bradley S. Price Aaron J. Molstad Ben Sherwood 60 9 0 01 Mar 2020
Inference for multiple heterogeneous networks with a common invariant subspace Jesús Arroyo A. Athreya Joshua Cape Guodong Chen Carey E. Priebe Joshua T. Vogelstein 59 117 0 24 Jun 2019
A Unified Framework for Structured Graph Learning via Spectral Constraints Sandeep Kumar Jiaxi Ying José Vinícius de Miranda Cardoso Daniel P. Palomar 67 115 0 22 Apr 2019
Graph Laplacian mixture model Hermina Petric Maretic P. Frossard 55 26 0 23 Oct 2018
Learning graphs from data: A signal representation perspective Xiaowen Dong D. Thanou Michael G. Rabbat P. Frossard 109 381 0 03 Jun 2018
High-Dimensional Joint Estimation of Multiple Directed Gaussian Graphical Models Yuhao Wang Santiago Segarra Caroline Uhler 81 25 0 03 Apr 2018
Centrality measures for graphons: Accounting for uncertainty in networks Marco Avella-Medina F. Parise Michael T. Schaub Santiago Segarra 90 80 0 28 Jul 2017
Simultaneous Clustering and Estimation of Heterogeneous Graphical Models Botao Hao W. Sun Yufeng Liu Guang Cheng 53 80 0 28 Nov 2016
Tracking Switched Dynamic Network Topologies from Information Cascades Brian Baingana G. Giannakis 52 43 0 28 Jun 2016
Kernel-Based Structural Equation Models for Topology Identification of Directed Networks Yanning Shen Brian Baingana G. Giannakis 36 90 0 10 May 2016
Stationary signal processing on graphs Nathanael Perraudin P. Vandergheynst 96 238 0 11 Jan 2016
How to learn a graph from smooth signals Vassilis Kalofolias 84 515 0 11 Jan 2016
Targeted Fused Ridge Estimation of Inverse Covariance Matrices from Multiple High-Dimensional Data Classes A. E. Bilgrau C. Peeters P. S. Eriksen M. Bøgsted W. N. Wieringen 26 28 0 26 Sep 2015
Multi-layer graph analysis for dynamic social networks Brandon Oselio Alex Kulesza Alfred Hero 62 43 0 20 Sep 2013
High dimensional Sparse Gaussian Graphical Mixture Model A. Lotsi E. Wit 78 12 0 15 Aug 2013
Node-Based Learning of Multiple Gaussian Graphical Models Karthika Mohan Palma London Maryam Fazel Daniela Witten Su-In Lee 69 208 0 21 Mar 2013
Fused Multiple Graphical Lasso Sen Yang Zhaosong Lu Xiaotong Shen Peter Wonka Jieping Ye 107 107 0 10 Sep 2012
Brain covariance selection: better individual functional connectivity models using population prior Gaël Varoquaux Alexandre Gramfort J B Poline Bertrand Thirion 87 288 0 30 Aug 2010