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带有适应辅助模块的双路径图形神经网络用于链接预测.

Zhenzhen Yang1, Zelong Lin1, Yongpeng Yang1,2

  • 1Key Laboratory of Ministry of Education in Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Nanjing, China.

Big data
|March 25, 2024
PubMed
概括

本研究引入了一种双路图神经网络 (DPGNN),以提高链接预测的准确性. DPGNN有效地处理各种节点类型,并增强注意力机制,以便更好地进行图形分析.

关键词:
图表注意力网络图表注意力网络适应式辅助模块适应式辅助模块不同质的图形是不同的图形.链接预测 链接预测当地增强局部增强

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