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Updated: Jun 5, 2025

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CDCGAN:基于GAN的少数增强,用于不平衡的节点分类

Bojia Liu1, Conghui Zheng2, Fuhui Sun3

  • 1School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.

Neural networks : the official journal of the International Neural Network Society
|December 5, 2024
PubMed
概括

在图形神经网络 (GNN) 中的阶级不平衡会损害少数阶级的表现. 我们的类分布意识有条件生成对抗网络 (CDCGAN) 产生了多样化,可区分的少数节点,改善了GNN分类.

关键词:
生成性的对抗性网络.图形神经网络是一个神经网络.不平衡节点的分类 不平衡节点的分类

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