A Probabilistic Interpretation of Sampling Theory of Graph Signals

23 March 2015

Papers citing "A Probabilistic Interpretation of Sampling Theory of Graph Signals"

9 / 9 papers shown

Title
Sparse Graph Learning with Spectrum Prior for Deep Graph Convolutional Networks Jin Zeng Yang Liu Gene Cheung Wei Hu 104 4 0 28 Feb 2022
Graph Learning: A Survey Xiwei Xu Ke Sun Shuo Yu Abdul Aziz Liangtian Wan Shirui Pan Huan Liu GNN 89 355 0 03 May 2021
Sampling Signals on Graphs: From Theory to Applications Yuichi Tanaka Yonina C. Eldar Antonio Ortega Gene Cheung 58 10 0 09 Mar 2020
Kernel-based Inference of Functions over Graphs V. Ioannidis Meng Ma A. Nikolakopoulos G. Giannakis Daniel Romero 71 29 0 28 Nov 2017
Stationary time-vertex signal processing Andreas Loukas Nathanael Perraudin 95 48 0 01 Nov 2016
Kernel-based Reconstruction of Graph Signals Daniel Romero Meng Ma G. Giannakis 77 182 0 23 May 2016
Global and Local Uncertainty Principles for Signals on Graphs Nathanael Perraudin B. Ricaud D. Shuman P. Vandergheynst 85 67 0 10 Mar 2016
Stationary signal processing on graphs Nathanael Perraudin P. Vandergheynst 118 238 0 11 Jan 2016
Random sampling of bandlimited signals on graphs Gilles Puy Nicolas M Tremblay Rémi Gribonval P. Vandergheynst 90 158 0 16 Nov 2015