FA-GCL:

Long Xu1, Honghui Chen1

  • 1National Key Laboratory of Information Systems Engineering, Changsha, 410000, China.

概括

本研究引入基于特征增强的图形对比学习 (FA-GCL) 来增强图形表示. 通过使用动态脱落和单数值分解来增强特征,FA-GCL提高了准确性和稳定性,优于现有的方法.

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Observational Learning01:12

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