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Perfect Reconstruction Two-Channel Wavelet Filter-Banks for Graph Structured Data

18 June 2011

Papers citing "Perfect Reconstruction Two-Channel Wavelet Filter-Banks for Graph Structured Data"

27 / 27 papers shown

Title
Learning Optimal Graph Filters for Clustering of Attributed Graphs Meiby Ortiz-Bouza Selin Aviyente GNN 102 1 0 09 Nov 2022
Message Passing in Graph Convolution Networks via Adaptive Filter Banks Xing Gao Wenrui Dai Chenglin Li Junni Zou H. Xiong P. Frossard GNN 73 6 0 18 Jun 2021
Distributed algorithms to determine eigenvectors of matrices on spatially distributed networks N. Emirov Cheng Cheng Qiyu Sun Z. Qu 42 4 0 23 Nov 2020
Sampling and Recovery of Graph Signals based on Graph Neural Networks Siheng Chen Maosen Li Ya Zhang 144 4 0 03 Nov 2020
Graph Blind Deconvolution with Sparseness Constraint Kazumasa Iwata Koki Yamada Yuichi Tanaka 24 3 0 27 Oct 2020
Localized Spectral Graph Filter Frames: A Unifying Framework, Survey of Design Considerations, and Numerical Comparison (Extended Cut) D. Shuman 63 45 0 19 Jun 2020
Spectral Graph Wavelet Transform as Feature Extractor for Machine Learning in Neuroimaging Yusuf Yigit Pilavci Nicolas Farrugia MedIm 97 5 0 11 Oct 2019
Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering Siheng Chen Chaojing Duan Yaoqing Yang Duanshun Li Chen Feng Dong Tian 3DPC 101 73 0 11 May 2019
Graph Convolutional Networks with EigenPooling Yao Ma Suhang Wang Charu C. Aggarwal Jiliang Tang GNN 185 337 0 30 Apr 2019
A Unified Framework for Structured Graph Learning via Spectral Constraints Sandeep Kumar Jiaxi Ying José Vinícius de Miranda Cardoso Daniel P. Palomar 88 115 0 22 Apr 2019
Graph Learning from Filtered Signals: Graph System and Diffusion Kernel Identification Hilmi E. Egilmez Eduardo Pavez Antonio Ortega 73 66 0 07 Mar 2018
Adaptive Graph Signal Processing: Algorithms and Optimal Sampling Strategies Paolo Di Lorenzo P. Banelli Elvin Isufi Sergio Barbarossa G. Leus 77 88 0 12 Sep 2017
Learning Graphs with Monotone Topology Properties and Multiple Connected Components Eduardo Pavez Hilmi E. Egilmez Antonio Ortega 100 55 0 31 May 2017
Greedy Sampling of Graph Signals Luiz F. O. Chamon Alejandro Ribeiro 94 127 0 05 Apr 2017
Graph Learning from Data under Structural and Laplacian Constraints Hilmi E. Egilmez Eduardo Pavez Antonio Ortega 75 42 0 16 Nov 2016
Dynamic Polygon Clouds: Representation and Compression for VR/AR P. Chou Eduardo Pavez R. Queiroz Antonio Ortega 99 43 0 03 Oct 2016
Distributed Adaptive Learning of Graph Signals P. Lorenzo P. Banelli Sergio Barbarossa S. Sardellitti 104 63 0 20 Sep 2016
Global and Local Uncertainty Principles for Signals on Graphs Nathanael Perraudin B. Ricaud D. Shuman P. Vandergheynst 85 67 0 10 Mar 2016
Adaptive Least Mean Squares Estimation of Graph Signals P. Lorenzo Sergio Barbarossa P. Banelli S. Sardellitti 144 120 0 18 Feb 2016
Signal Representations on Graphs: Tools and Applications Siheng Chen R. Varma Aarti Singh J. Kovacevic 81 35 0 16 Dec 2015
Signal Recovery on Graphs: Variation Minimization Siheng Chen A. Sandryhaila José M. F. Moura J. Kovacevic 125 271 0 26 Nov 2014
Learning Laplacian Matrix in Smooth Graph Signal Representations Xiaowen Dong D. Thanou P. Frossard P. Vandergheynst 222 28 0 30 Jun 2014
Active Semi-Supervised Learning Using Sampling Theory for Graph Signals Akshay Gadde Aamir Anis Antonio Ortega 76 157 0 16 May 2014
Learning parametric dictionaries for graph signals D. Thanou D. Shuman P. Frossard 117 119 0 05 Jan 2014
Bilateral Filter: Graph Spectral Interpretation and Extensions Akshay Gadde S. K. Narang Antonio Ortega 79 82 0 11 Mar 2013
The Emerging Field of Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Domains D. Shuman S. K. Narang P. Frossard Antonio Ortega P. Vandergheynst 151 3,992 0 31 Oct 2012
Compact Support Biorthogonal Wavelet Filterbanks for Arbitrary Undirected Graphs S. K. Narang Antonio Ortega 103 214 0 30 Oct 2012