Jia Wu1, Zixuan Xu1, SiYao Qiao1

  • 1School of Information and Software Engineering, University of Electronic Science and Technology of China, China.

概括

本研究介绍了一种新的生成模型,用于通过元对比学习 (Meta-Contrastive Learning,HGMCL) 来生成异构图神经网络. 对于新任务,HGMCL有效地生成最佳的异构图神经网络架构,优于现有方法.

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Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

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Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
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Introduction to Learning01:18

Introduction to Learning

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Neural Circuits01:25

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