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Transferability of Graph Neural Networks using Graphon and Sampling
  Theories

Transferability of Graph Neural Networks using Graphon and Sampling Theories

25 July 2023
A. Neuman
J. Bramburger
ArXivPDFHTML

Papers citing "Transferability of Graph Neural Networks using Graphon and Sampling Theories"

5 / 5 papers shown
Title
Convolutional Neural Networks on Manifolds: From Graphs and Back
Convolutional Neural Networks on Manifolds: From Graphs and Back
Zhiyang Wang
Luana Ruiz
Alejandro Ribeiro
3DPC
GNN
32
14
0
01 Oct 2022
Learning Sparse Graphon Mean Field Games
Learning Sparse Graphon Mean Field Games
Christian Fabian
Kai Cui
Heinz Koeppl
AI4CE
29
14
0
08 Sep 2022
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
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
163
1,095
0
27 Apr 2021
Graph and graphon neural network stability
Graph and graphon neural network stability
Luana Ruiz
Zhiyang Wang
Alejandro Ribeiro
GNN
78
17
0
23 Oct 2020
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