Improved Modeling and Generalization Capabilities of Graph Neural Networks With Legendre Polynomials

Improved Modeling and Generalization Capabilities of Graph Neural Networks With Legendre Polynomials

LegendreNet is a novel graph neural network (GNNs) model that addresses stability issues present in traditional GNN models such as ChebNet, while also more effectively capturing higher-order dependencies within graphical data. Compared to traditional GNNs models such as GCN, LegendreNet is better eq...

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Bibliographic Details
Main Authors: Jiali Chen, Liwen Xu
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
LegendreNet
graph neural networks
high-order dependencies
Legendre polynomials
robustness
spectral filtering
Online Access:https://ieeexplore.ieee.org/document/10160025/

Internet

https://ieeexplore.ieee.org/document/10160025/

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