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. 2112.04629
  4. Cited By
Transferability Properties of Graph Neural Networks

Transferability Properties of Graph Neural Networks

9 December 2021
Luana Ruiz
Luiz F. O. Chamon
Alejandro Ribeiro
    GNN
ArXivPDFHTML

Papers citing "Transferability Properties of Graph Neural Networks"

7 / 7 papers shown
Title
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks
Pau Ferrer-Cid
Jose M. Barcelo-Ordinas
J. García-Vidal
37
2
0
28 Oct 2024
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
Decentralized Learning Strategies for Estimation Error Minimization with Graph Neural Networks
Decentralized Learning Strategies for Estimation Error Minimization with Graph Neural Networks
Xingran Chen
Navid Naderializadeh
Alejandro Ribeiro
Shirin Saeedi Bidokhti
44
1
0
04 Apr 2024
Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs
Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs
Matthieu Cordonnier
Nicolas Keriven
Nicolas M Tremblay
Samuel Vaiter
GNN
45
7
0
21 Apr 2023
Transferability of Graph Neural Networks: an Extended Graphon Approach
Transferability of Graph Neural Networks: an Extended Graphon Approach
Sohir Maskey
Ron Levie
Gitta Kutyniok
GNN
81
49
0
21 Sep 2021
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
120
284
0
01 May 2018
Geometric deep learning: going beyond Euclidean data
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
1