Graph Convolution for Large-Scale Graph Node Classification Task Based on Spatial and Frequency Domain Fusion

In recent years, Graph Neural Networks (GNNs) have achieved significant success in graph-based tasks. However, they still face challenges in complex scenarios, particularly in integrating local and global information, enhancing robustness to noise, and overcoming the rigidity of graph structures. To...

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Bibliographic Details
Main Authors: Junwen Lu, Lingrui Zheng, Xianmei Hua, Yankun Wang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10849571/
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