Transferability of Spectral Graph Convolutional Neural Networks

30 July 2019

Papers citing "Transferability of Spectral Graph Convolutional Neural Networks"

37 / 87 papers shown

Title
Theory of Graph Neural Networks: Representation and Learning Stefanie Jegelka GNN AI4CE 17 67 0 16 Apr 2022
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks Hongya Wang Haoteng Yin Muhan Zhang Pan Li 20 106 0 01 Mar 2022
Generalization Analysis of Message Passing Neural Networks on Large Random Graphs Sohir Maskey Ron Levie Yunseok Lee Gitta Kutyniok GNN 73 53 0 01 Feb 2022
Learning Stochastic Graph Neural Networks with Constrained Variance Zhan Gao Elvin Isufi 11 5 0 29 Jan 2022
Convergence of Invariant Graph Networks Chen Cai Yusu Wang 45 4 0 25 Jan 2022
Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid Scattering Networks Frederik Wenkel Yimeng Min M. Hirn Michael Perlmutter Guy Wolf GNN 11 19 0 22 Jan 2022
Transferability Properties of Graph Neural Networks Luana Ruiz Luiz F. O. Chamon Alejandro Ribeiro GNN 16 40 0 09 Dec 2021
Stability of Neural Networks on Manifolds to Relative Perturbations Zhiyang Wang Luana Ruiz Alejandro Ribeiro 13 13 0 10 Oct 2021
Transferability of Graph Neural Networks: an Extended Graphon Approach Sohir Maskey Ron Levie Gitta Kutyniok GNN 81 49 0 21 Sep 2021
Graph Neural Networks: Methods, Applications, and Opportunities Lilapati Waikhom Ripon Patgiri GNN 8 41 0 24 Aug 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu C. Aggarwal Chang-Tien Lu 24 17 0 21 Jul 2021
Stability of Graph Convolutional Neural Networks to Stochastic Perturbations Zhangyang Gao Elvin Isufi Alejandro Ribeiro GNN 11 23 0 19 Jun 2021
Message Passing in Graph Convolution Networks via Adaptive Filter Banks Xing Gao Wenrui Dai Chenglin Li Junni Zou H. Xiong P. Frossard GNN 14 6 0 18 Jun 2021
Stability to Deformations of Manifold Filters and Manifold Neural Networks Zhiyang Wang Luana Ruiz Alejandro Ribeiro AAML 10 7 0 07 Jun 2021
Learning by Transference: Training Graph Neural Networks on Growing Graphs J. Cerviño Luana Ruiz Alejandro Ribeiro GNN 14 15 0 07 Jun 2021
Node-Variant Graph Filters in Graph Neural Networks Fernando Gama Brendon G. Anderson Somayeh Sojoudi GNN 29 6 0 31 May 2021
On the Universality of Graph Neural Networks on Large Random Graphs Nicolas Keriven A. Bietti Samuel Vaiter 17 21 0 27 May 2021
MagNet: A Neural Network for Directed Graphs Xitong Zhang Yixuan He Nathan Brugnone Michael Perlmutter M. Hirn 8 89 0 22 Feb 2021
An Experimental Study of the Transferability of Spectral Graph Networks Axel Nilsson Xavier Bresson 17 3 0 18 Dec 2020
DiffusionNet: Discretization Agnostic Learning on Surfaces Nicholas Sharp Souhaib Attaiki Keenan Crane M. Ovsjanikov 3DH 6 196 0 01 Dec 2020
A Simple Spectral Failure Mode for Graph Convolutional Networks Carey E. Priebe Cencheng Shen Ningyuan Huang Tianyi Chen GNN 6 5 0 25 Oct 2020
Graph and graphon neural network stability Luana Ruiz Zhiyang Wang Alejandro Ribeiro GNN 78 17 0 23 Oct 2020
Discriminability of Single-Layer Graph Neural Networks Samuel Pfrommer Fernando Gama Alejandro Ribeiro 29 8 0 17 Oct 2020
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization Qi Zhu Carl Yang Yidan Xu Haonan Wang Chao Zhang Jiawei Han 29 115 0 11 Sep 2020
Graph Neural Networks: Architectures, Stability and Transferability Luana Ruiz Fernando Gama Alejandro Ribeiro GNN 24 106 0 04 Aug 2020
Graph signal processing for machine learning: A review and new perspectives Xiaowen Dong D. Thanou Laura Toni M. Bronstein P. Frossard 13 151 0 31 Jul 2020
Learning the Travelling Salesperson Problem Requires Rethinking Generalization Chaitanya K. Joshi Quentin Cappart Louis-Martin Rousseau T. Laurent 11 108 0 12 Jun 2020
Graphon Neural Networks and the Transferability of Graph Neural Networks Luana Ruiz Luiz F. O. Chamon Alejandro Ribeiro GNN 6 140 0 05 Jun 2020
Convergence and Stability of Graph Convolutional Networks on Large Random Graphs Nicolas Keriven A. Bietti Samuel Vaiter GNN 11 76 0 02 Jun 2020
SIGN: Scalable Inception Graph Neural Networks Fabrizio Frasca Emanuele Rossi D. Eynard B. Chamberlain M. Bronstein Federico Monti GNN 12 391 0 23 Apr 2020
Sparse and Smooth: improved guarantees for Spectral Clustering in the Dynamic Stochastic Block Model Nicolas Keriven Samuel Vaiter 18 13 0 07 Feb 2020
EdgeNets:Edge Varying Graph Neural Networks Elvin Isufi Fernando Gama Alejandro Ribeiro GNN 24 80 0 21 Jan 2020
Understanding Graph Neural Networks with Generalized Geometric Scattering Transforms Michael Perlmutter Alexander Tong F. Gao Guy Wolf M. Hirn GNN 9 9 0 14 Nov 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 21 4,526 0 20 Dec 2018
Convolutional Neural Network Architectures for Signals Supported on Graphs Fernando Gama A. Marques G. Leus Alejandro Ribeiro 114 284 0 01 May 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 234 1,801 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 231 3,202 0 24 Nov 2016