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Convergence and Stability of Graph Convolutional Networks on Large
  Random Graphs

Convergence and Stability of Graph Convolutional Networks on Large Random Graphs

2 June 2020
Nicolas Keriven
A. Bietti
Samuel Vaiter
    GNN
ArXivPDFHTML

Papers citing "Convergence and Stability of Graph Convolutional Networks on Large Random Graphs"

15 / 15 papers shown
Title
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
283
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
67
8
0
21 Apr 2023
Transferability of Spectral Graph Convolutional Neural Networks
Transferability of Spectral Graph Convolutional Neural Networks
Ron Levie
Wei Huang
Lorenzo Bucci
M. Bronstein
Gitta Kutyniok
GNN
81
127
0
30 Jul 2019
On the equivalence between graph isomorphism testing and function
  approximation with GNNs
On the equivalence between graph isomorphism testing and function approximation with GNNs
Zhengdao Chen
Soledad Villar
Lei Chen
Joan Bruna
58
278
0
29 May 2019
Universal Invariant and Equivariant Graph Neural Networks
Universal Invariant and Equivariant Graph Neural Networks
Nicolas Keriven
Gabriel Peyré
104
290
0
13 May 2019
Stability Properties of Graph Neural Networks
Stability Properties of Graph Neural Networks
Fernando Gama
Joan Bruna
Alejandro Ribeiro
47
229
0
11 May 2019
On the Universality of Invariant Networks
On the Universality of Invariant Networks
Haggai Maron
Ethan Fetaya
Nimrod Segol
Y. Lipman
OOD
72
238
0
27 Jan 2019
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
132
7,554
0
01 Oct 2018
Computational Optimal Transport
Computational Optimal Transport
Gabriel Peyré
Marco Cuturi
OT
117
2,133
0
01 Mar 2018
Sharp asymptotic and finite-sample rates of convergence of empirical
  measures in Wasserstein distance
Sharp asymptotic and finite-sample rates of convergence of empirical measures in Wasserstein distance
Jonathan Niles-Weed
Francis R. Bach
101
417
0
01 Jul 2017
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
471
3,264
0
24 Nov 2016
Spectral Networks and Locally Connected Networks on Graphs
Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna
Wojciech Zaremba
Arthur Szlam
Yann LeCun
GNN
115
4,856
0
21 Dec 2013
Deep Scattering Spectrum
Deep Scattering Spectrum
Joakim Andén
S. Mallat
60
533
0
24 Apr 2013
Invariant Scattering Convolution Networks
Invariant Scattering Convolution Networks
Joan Bruna
S. Mallat
60
1,272
0
05 Mar 2012
A survey of statistical network models
A survey of statistical network models
Anna Goldenberg
A. Zheng
S. Fienberg
E. Airoldi
143
980
0
29 Dec 2009
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