Invariance-Preserving Localized Activation Functions for Graph Neural
Networks

Invariance-Preserving Localized Activation Functions for Graph Neural Networks

29 March 2019

Alejandro Ribeiro

Papers citing "Invariance-Preserving Localized Activation Functions for Graph Neural Networks"

10 / 10 papers shown

Title
Graph Sampling for Scalable and Expressive Graph Neural Networks on Homophilic Graphs Haolin Li Luana Ruiz Luana Ruiz 37 0 0 22 Oct 2024
Unsupervised Learning of Sampling Distributions for Particle Filters Fernando Gama Nicolas Zilberstein Martín Sevilla Richard Baraniuk Santiago Segarra 40 9 0 02 Feb 2023
Training Graph Neural Networks on Growing Stochastic Graphs J. Cerviño Luana Ruiz Alejandro Ribeiro GNN 11 8 0 27 Oct 2022
Transferability Properties of Graph Neural Networks Luana Ruiz Luiz F. O. Chamon Alejandro Ribeiro GNN 27 41 0 09 Dec 2021
Understanding Structural Vulnerability in Graph Convolutional Networks Liang Chen Jintang Li Qibiao Peng Yang Liu Zibin Zheng Carl Yang AAML 21 58 0 13 Aug 2021
Graph Neural Networks: Architectures, Stability and Transferability Luana Ruiz Fernando Gama Alejandro Ribeiro GNN 53 122 0 04 Aug 2020
$Does the $\ell_1$-norm Learn a Sparse Graph under Laplacian Constrained Graphical Models?$ Does the $\ell_1$ -norm Learn a Sparse Graph under Laplacian Constrained Graphical Models? Jiaxi Ying J. Cardoso Daniel P. Palomar 15 10 0 26 Jun 2020
Probably Approximately Correct Constrained Learning Luiz F. O. Chamon Alejandro Ribeiro 22 37 0 09 Jun 2020
Graphon Pooling in Graph Neural Networks Alejandro Parada-Mayorga Luana Ruiz Alejandro Ribeiro GNN 8 15 0 03 Mar 2020
Convolutional Neural Network Architectures for Signals Supported on Graphs Fernando Gama A. Marques G. Leus Alejandro Ribeiro 134 285 0 01 May 2018