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Chebyshev Polynomial Approximation for Distributed Signal Processing

10 May 2011

Papers citing "Chebyshev Polynomial Approximation for Distributed Signal Processing"

35 / 35 papers shown

Title
Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Yichun Yang Rong-Hua Li Meihao Liao Longlong Lin Guoren Wang 106 0 0 14 Dec 2024
Benchmarking Spectral Graph Neural Networks: A Comprehensive Study on Effectiveness and Efficiency Ningyi Liao Haoyu Liu Zulun Zhu Siqiang Luo L. Lakshmanan 108 2 0 14 Jun 2024
GSP-KalmanNet: Tracking Graph Signals via Neural-Aided Kalman Filtering Itay Buchnik G. Sagi Nimrod Leinwand Yuval Loya Nir Shlezinger T. Routtenberg 63 6 0 28 Nov 2023
Fairness-aware Optimal Graph Filter Design O. Deniz Kose Yanning Shen Gonzalo Mateos FaML 77 4 0 22 Oct 2023
Fairness-Aware Graph Filter Design Öykü Deniz Köse Yanning Shen Gonzalo Mateos FaML 56 5 0 20 Mar 2023
Self-organization Preserved Graph Structure Learning with Principle of Relevant Information Qingyun Sun Jianxin Li Beining Yang Xingcheng Fu Hao Peng Philip S. Yu 65 11 0 30 Dec 2022
Geodesic Sinkhorn for Fast and Accurate Optimal Transport on Manifolds G. Huguet Alexander Tong María Ramos Zapatero Christopher J. Tape Guy Wolf Smita Krishnaswamy OT 72 7 0 02 Nov 2022
Stochastic Parallelizable Eigengap Dilation for Large Graph Clustering Elise van der Pol I. Gemp Yoram Bachrach Richard Everett 75 0 0 29 Jul 2022
Tuning the Geometry of Graph Neural Networks Sowon Jeong Claire Donnat AI4CE 73 1 0 12 Jul 2022
Aspect Based Sentiment Analysis Using Spectral Temporal Graph Neural Network Abir Chakraborty 42 5 0 14 Feb 2022
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited Mingguo He Zhewei Wei Ji-Rong Wen GNN 84 111 0 04 Feb 2022
Deep Graph Convolutional Reinforcement Learning for Financial Portfolio Management -- DeepPocket Farzan Soleymani E. Paquet AIFin 53 50 0 06 May 2021
Diffusion Earth Mover's Distance and Distribution Embeddings Alexander Tong G. Huguet A. Natik Kincaid MacDonald Manik Kuchroo Ronald R. Coifman Guy Wolf Smita Krishnaswamy MedIm 66 30 0 25 Feb 2021
Geometric Formulation for Discrete Points and its Applications Yuuya Takayama 12 1 0 07 Feb 2020
Distributed Change Detection in Streaming Graph Signals A. Ferrari C. Richard Louis Verduci 44 8 0 15 Oct 2019
Approximating Spectral Clustering via Sampling: a Review Nicolas M Tremblay Andreas Loukas 70 46 0 29 Jan 2019
Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back M. Simonovsky BDL GNN 77 1 0 24 Jan 2019
Graph Neural Networks with convolutional ARMA filters F. Bianchi Daniele Grattarola L. Livi Cesare Alippi GNN 128 399 0 05 Jan 2019
A Graph-CNN for 3D Point Cloud Classification Yingxue Zhang Michael G. Rabbat 3DPC 194 158 0 28 Nov 2018
Isometric Transformation Invariant Graph-based Deep Neural Network Renata Khasanova P. Frossard 44 3 0 21 Aug 2018
Learning over Multitask Graphs -- Part I: Stability Analysis Roula Nassif Stefan Vlaski Cedric Richard Ali H. Sayed 65 29 0 22 May 2018
Spectrally approximating large graphs with smaller graphs Andreas Loukas P. Vandergheynst 68 106 0 21 Feb 2018
Network Representation Learning: A Survey Daokun Zhang Jie Yin Xingquan Zhu Chengqi Zhang GNN AI4TS 127 625 0 04 Dec 2017
Learning Structural Node Embeddings Via Diffusion Wavelets Claire Donnat Marinka Zitnik David Hallac J. Leskovec GNN DiffM 91 394 0 27 Oct 2017
Fast Approximate Spectral Clustering for Dynamic Networks Lionel Martin Andreas Loukas P. Vandergheynst 133 18 0 12 Jun 2017
A Time-Vertex Signal Processing Framework Francesco Grassi Andreas Loukas Nathanael Perraudin B. Ricaud 69 174 0 05 May 2017
Fast Spectral Ranking for Similarity Search Ahmet Iscen Yannis Avrithis Giorgos Tolias Teddy Furon Ondřej Chum 75 49 0 20 Mar 2017
Graph-based Isometry Invariant Representation Learning Renata Khasanova P. Frossard 115 55 0 01 Mar 2017
Autoregressive Moving Average Graph Filtering Elvin Isufi Andreas Loukas Andrea Simonetto G. Leus 161 245 0 14 Feb 2016
Frequency Analysis of Temporal Graph Signals Andreas Loukas Damien Foucard 62 22 0 14 Feb 2016
Compressive Spectral Clustering Nicolas M Tremblay Gilles Puy Remi Gribonval P. Vandergheynst 167 114 0 05 Feb 2016
Distributed Autoregressive Moving Average Graph Filters Andreas Loukas Andrea Simonetto G. Leus 63 98 0 24 Apr 2015
Learning parametric dictionaries for graph signals D. Thanou D. Shuman P. Frossard 106 119 0 05 Jan 2014
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 149 3,991 0 31 Oct 2012
Distributed Signal Processing via Chebyshev Polynomial Approximation D. Shuman P. Vandergheynst D. Kressner P. Frossard 100 115 0 22 Nov 2011