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Graphon Neural Networks and the Transferability of Graph Neural Networks

Graphon Neural Networks and the Transferability of Graph Neural Networks

5 June 2020
Luana Ruiz
Luiz F. O. Chamon
Alejandro Ribeiro
    GNN
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Papers citing "Graphon Neural Networks and the Transferability of Graph Neural Networks"

15 / 15 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
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation
Kexin Zhang
Shuhan Liu
Song Wang
Weili Shi
Chen Chen
Pan Li
Sheng R. Li
Jundong Li
Kaize Ding
OOD
45
2
0
25 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
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
Graphon Pooling for Reducing Dimensionality of Signals and Convolutional
  Operators on Graphs
Graphon Pooling for Reducing Dimensionality of Signals and Convolutional Operators on Graphs
Alejandro Parada-Mayorga
Zhiyang Wang
Alejandro Ribeiro
23
9
0
15 Dec 2022
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
22
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
Equivariant and Stable Positional Encoding for More Powerful Graph
  Neural Networks
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks
Hongya Wang
Haoteng Yin
Muhan Zhang
Pan Li
23
106
0
01 Mar 2022
Transferability Properties of Graph Neural Networks
Transferability Properties of Graph Neural Networks
Luana Ruiz
Luiz F. O. Chamon
Alejandro Ribeiro
GNN
19
40
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
Graph Neural Networks: Architectures, Stability and Transferability
Graph Neural Networks: Architectures, Stability and Transferability
Luana Ruiz
Fernando Gama
Alejandro Ribeiro
GNN
34
121
0
04 Aug 2020
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
26
5,365
0
20 Dec 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
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
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