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Immunizing over-smoothing: Dual-channel graph convolutional network

delete2025-07-16
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PRE
AI
C
Canyang Guo
郭贤伟 cover
郭贤伟 (Xianwei Guo)
S
Sujia Huang
Y
Yuchao Su
朱达欣 cover
朱达欣 (Daxin Zhu)
J
Jianbing Xiahou
DOI:10.1016/j.eswa.2025.128976delete
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Abstract

Abstract

En 中文
• Establish a new framework to alleviate the over-smoothing issue in deep GCNs. • Two subnetworks complement each other to mitigate the structural degradation. • Design a collaborative loss to achieve the effective integration of features.
Keywords:
over-smoothing
graph convolutional networks
subnetworks
structural degradation
collaborative loss

Journal

Expert Systems with Applications cover
Expert Systems with Applications
IF:
7.5
Papers:
2.9W
Citations:
10.2W

Organization

Q
Quanzhou Normal University
Scholars:
1.0K
Papers: 834
Citations: 1.6K
N
Nanjing University of Science and Technology
Scholars:
5.6K
Papers: 2.2K
Citations: 25
M
Minjiang University
Scholars:
1.9K
Papers: 1.9K
Citations: 3.1K
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