ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1903.12575
  4. Cited By
Invariance-Preserving Localized Activation Functions for Graph Neural
  Networks

Invariance-Preserving Localized Activation Functions for Graph Neural Networks

29 March 2019
Luana Ruiz
Fernando Gama
A. Marques
Alejandro Ribeiro
    GNN
ArXivPDFHTML

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

6 / 6 papers shown
Title
Graph Sampling for Scalable and Expressive Graph Neural Networks on Homophilic Graphs
Graph Sampling for Scalable and Expressive Graph Neural Networks on Homophilic Graphs
Haolin Li
Luana Ruiz
Luana Ruiz
32
0
0
22 Oct 2024
Training Graph Neural Networks on Growing Stochastic Graphs
Training Graph Neural Networks on Growing Stochastic Graphs
J. Cerviño
Luana Ruiz
Alejandro Ribeiro
GNN
6
8
0
27 Oct 2022
Transferability Properties of Graph Neural Networks
Transferability Properties of Graph Neural Networks
Luana Ruiz
Luiz F. O. Chamon
Alejandro Ribeiro
GNN
19
41
0
09 Dec 2021
Understanding Structural Vulnerability in Graph Convolutional Networks
Understanding Structural Vulnerability in Graph Convolutional Networks
Liang Chen
Jintang Li
Qibiao Peng
Yang Liu
Zibin Zheng
Carl Yang
AAML
10
58
0
13 Aug 2021
Graph Neural Networks: Architectures, Stability and Transferability
Graph Neural Networks: Architectures, Stability and Transferability
Luana Ruiz
Fernando Gama
Alejandro Ribeiro
GNN
40
121
0
04 Aug 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
129
285
0
01 May 2018
1