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Transferability of Graph Neural Networks: an Extended Graphon Approach

Transferability of Graph Neural Networks: an Extended Graphon Approach

21 September 2021
Sohir Maskey
Ron Levie
Gitta Kutyniok
    GNN
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Papers citing "Transferability of Graph Neural Networks: an Extended Graphon Approach"

14 / 14 papers shown
Title
Efficient Learning on Large Graphs using a Densifying Regularity Lemma
Efficient Learning on Large Graphs using a Densifying Regularity Lemma
Jonathan Kouchly
Ben Finkelshtein
M. Bronstein
Ron Levie
39
0
0
25 Apr 2025
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
42
2
0
28 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
84
1
0
04 Apr 2024
On the Trade-Off between Stability and Representational Capacity in
  Graph Neural Networks
On the Trade-Off between Stability and Representational Capacity in Graph Neural Networks
Zhan Gao
Amanda Prorok
Elvin Isufi
35
1
0
04 Dec 2023
A graphon-signal analysis of graph neural networks
A graphon-signal analysis of graph neural networks
Ron Levie
26
17
0
25 May 2023
Transferability of coVariance Neural Networks and Application to
  Interpretable Brain Age Prediction using Anatomical Features
Transferability of coVariance Neural Networks and Application to Interpretable Brain Age Prediction using Anatomical Features
Saurabh Sihag
Fangchang Ma
Corey McMillan
Angela Dai
38
3
0
02 May 2023
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
49
7
0
21 Apr 2023
Local transfer learning from one data space to another
Local transfer learning from one data space to another
H. Mhaskar
Ryan O'Dowd
11
0
0
01 Feb 2023
Stable and Transferable Hyper-Graph Neural Networks
Stable and Transferable Hyper-Graph Neural Networks
Mikhail Hayhoe
Hans Riess
V. Preciado
Alejandro Ribeiro
38
1
0
11 Nov 2022
Space-Time Graph Neural Networks with Stochastic Graph Perturbations
Space-Time Graph Neural Networks with Stochastic Graph Perturbations
Samar Hadou
Charilaos I. Kanatsoulis
Alejandro Ribeiro
25
4
0
28 Oct 2022
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs
  in Larger Test Graphs
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs
Yangze Zhou
Gitta Kutyniok
Bruno Ribeiro
OODD
AI4CE
73
37
0
30 May 2022
Transferability Properties of Graph Neural Networks
Transferability Properties of Graph Neural Networks
Luana Ruiz
Luiz F. O. Chamon
Alejandro Ribeiro
GNN
24
41
0
09 Dec 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
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
247
3,236
0
24 Nov 2016
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