DII-GCN: Dropedge Based Deep Graph Convolutional Networks

Graph neural networks (GNNs) have gradually become an important research branch in graph learning since 2005, and the most active one is unquestionably graph convolutional neural networks (GCNs). Although convolutional neural networks have successfully learned for images, voices, and texts, over-smo...

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Bibliographic Details
Main Authors: Jinde Zhu, Guojun Mao, Chunmao Jiang
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/14/4/798