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Graphon Pooling for Reducing Dimensionality of Signals and Convolutional
  Operators on Graphs

Graphon Pooling for Reducing Dimensionality of Signals and Convolutional Operators on Graphs

15 December 2022
Alejandro Parada-Mayorga
Zhiyang Wang
Alejandro Ribeiro
ArXivPDFHTML

Papers citing "Graphon Pooling for Reducing Dimensionality of Signals and Convolutional Operators on Graphs"

3 / 3 papers shown
Title
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
161
1,095
0
27 Apr 2021
Learning Graphons via Structured Gromov-Wasserstein Barycenters
Learning Graphons via Structured Gromov-Wasserstein Barycenters
Hongteng Xu
Dixin Luo
Lawrence Carin
H. Zha
28
22
0
10 Dec 2020
Convolutional Neural Network Architectures for Signals Supported on
  Graphs
Convolutional Neural Network Architectures for Signals Supported on Graphs
Fernando Gama
A. Marques
G. Leus
Alejandro Ribeiro
114
284
0
01 May 2018
1