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Stability of Neural Networks on Manifolds to Relative Perturbations

Stability of Neural Networks on Manifolds to Relative Perturbations

10 October 2021
Zhiyang Wang
Luana Ruiz
Alejandro Ribeiro
ArXivPDFHTML

Papers citing "Stability of Neural Networks on Manifolds to Relative Perturbations"

12 / 12 papers shown
Title
Geometric Scattering on Measure Spaces
Geometric Scattering on Measure Spaces
Joyce A. Chew
M. Hirn
Smita Krishnaswamy
Deanna Needell
Michael Perlmutter
H. Steach
Siddharth Viswanath
Hau‐Tieng Wu
GNN
147
18
0
17 Aug 2022
Unsupervised Learning for Asynchronous Resource Allocation in Ad-hoc
  Wireless Networks
Unsupervised Learning for Asynchronous Resource Allocation in Ad-hoc Wireless Networks
Zhiyang Wang
Mark Eisen
Alejandro Ribeiro
30
18
0
05 Nov 2020
Graph and graphon neural network stability
Graph and graphon neural network stability
Luana Ruiz
Zhiyang Wang
Alejandro Ribeiro
GNN
96
17
0
23 Oct 2020
Graphon Neural Networks and the Transferability of Graph Neural Networks
Graphon Neural Networks and the Transferability of Graph Neural Networks
Luana Ruiz
Luiz F. O. Chamon
Alejandro Ribeiro
GNN
63
145
0
05 Jun 2020
Convergence and Stability of Graph Convolutional Networks on Large
  Random Graphs
Convergence and Stability of Graph Convolutional Networks on Large Random Graphs
Nicolas Keriven
A. Bietti
Samuel Vaiter
GNN
50
86
0
02 Jun 2020
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
93
128
0
30 Jul 2019
Stability Properties of Graph Neural Networks
Stability Properties of Graph Neural Networks
Fernando Gama
Joan Bruna
Alejandro Ribeiro
63
232
0
11 May 2019
Learning Decentralized Controllers for Robot Swarms with Graph Neural
  Networks
Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks
Ekaterina V. Tolstaya
Fernando Gama
James Paulos
George Pappas
Vijay Kumar
Alejandro Ribeiro
GNN
85
173
0
25 Mar 2019
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CE
GNN
949
5,493
0
20 Dec 2018
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
220
7,623
0
01 Oct 2018
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
169
286
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
729
3,274
0
24 Nov 2016
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