Graph Convolutional Neural Networks via Scattering

31 March 2018

Papers citing "Graph Convolutional Neural Networks via Scattering"

27 / 27 papers shown

Title
InfoGain Wavelets: Furthering the Design of Diffusion Wavelets for Graph-Structured Data David R. Johnson Smita Krishnaswamy Michael Perlmutter DiffM 51 0 0 08 Apr 2025
Digital implementations of deep feature extractors are intrinsically informative Max Getter 60 0 0 20 Feb 2025
A Short Review on Novel Approaches for Maximum Clique Problem: from Classical algorithms to Graph Neural Networks and Quantum algorithms Raffaele Marino L. Buffoni Bogdan Zavalnij GNN 40 5 0 13 Mar 2024
On the Trade-Off between Stability and Representational Capacity in Graph Neural Networks Zhan Gao Amanda Prorok Elvin Isufi 35 1 0 04 Dec 2023
Multiscale Hodge Scattering Networks for Data Analysis Naoki Saito Stefan C. Schonsheck Eugene Shvarts 37 1 0 17 Nov 2023
Graph Scattering beyond Wavelet Shackles Christian Koke Gitta Kutyniok 21 4 0 26 Jan 2023
Unlearning Graph Classifiers with Limited Data Resources Chao Pan Eli Chien O. Milenkovic MU 25 32 0 06 Nov 2022
On the Shift Invariance of Max Pooling Feature Maps in Convolutional Neural Networks Hubert Leterme K. Polisano V. Perrier Alahari Karteek FAtt 38 2 0 19 Sep 2022
Graph Neural Network Based Node Deployment for Throughput Enhancement Yifei Yang Dongmian Zou Xiaofan He 15 5 0 19 Aug 2022
Geometric Scattering on Measure Spaces Joyce A. Chew M. Hirn Smita Krishnaswamy Deanna Needell Michael Perlmutter H. Steach Siddharth Viswanath Hau‐Tieng Wu GNN 39 16 0 17 Aug 2022
Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid Scattering Networks Frederik Wenkel Yimeng Min M. Hirn Michael Perlmutter Guy Wolf GNN 27 19 0 22 Jan 2022
Molecular Graph Generation via Geometric Scattering Dhananjay Bhaskar Jackson D. Grady Michal Perlmutter Smita Krishnaswamy GNN 26 6 0 12 Oct 2021
Convolutional Filtering and Neural Networks with Non Commutative Algebras Alejandro Parada-Mayorga Landon Butler Alejandro Ribeiro 27 10 0 23 Aug 2021
Graph Neural Networks With Lifting-based Adaptive Graph Wavelets Mingxing Xu Wenrui Dai Chenglin Li Junni Zou H. Xiong P. Frossard 35 11 0 03 Aug 2021
Wide and Deep Graph Neural Network with Distributed Online Learning Zhan Gao Fernando Gama Alejandro Ribeiro GNN 44 26 0 19 Jul 2021
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 25 115 0 16 Dec 2020
Decimated Framelet System on Graphs and Fast G-Framelet Transforms Xuebin Zheng Bingxin Zhou Yu Guang Wang Xiaosheng Zhuang 40 35 0 12 Dec 2020
Geometric Scattering Attention Networks Yimeng Min Frederik Wenkel Guy Wolf 21 9 0 28 Oct 2020
Graph and graphon neural network stability Luana Ruiz Zhiyang Wang Alejandro Ribeiro GNN 78 17 0 23 Oct 2020
Stability of Algebraic Neural Networks to Small Perturbations Alejandro Parada-Mayorga Alejandro Ribeiro 26 7 0 22 Oct 2020
Graph Neural Networks: Architectures, Stability and Transferability Luana Ruiz Fernando Gama Alejandro Ribeiro GNN 53 122 0 04 Aug 2020
Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks Fernando Gama Elvin Isufi G. Leus Alejandro Ribeiro GNN 28 150 0 08 Mar 2020
Efficient and Stable Graph Scattering Transforms via Pruning V. Ioannidis Siheng Chen G. Giannakis 25 11 0 27 Jan 2020
Human Action Recognition with Multi-Laplacian Graph Convolutional Networks A. Mazari H. Sahbi GNN 29 5 0 15 Oct 2019
Transferability of Spectral Graph Convolutional Neural Networks Ron Levie Wei Huang Lorenzo Bucci M. Bronstein Gitta Kutyniok GNN 32 126 0 30 Jul 2019
Diffusion Scattering Transforms on Graphs Fernando Gama Alejandro Ribeiro Joan Bruna GNN 42 100 0 22 Jun 2018
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 259 3,239 0 24 Nov 2016