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Updated: May 24, 2025

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
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Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Published on: February 9, 2017

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从全球和地方结构的角度促进时间图的学习.

Fengyi Wang, Guanghui Zhu, Hongqing Ding

    IEEE transactions on neural networks and learning systems
    |March 3, 2025
    PubMed
    概括

    全球和本地嵌入网络 (GLEN) 通过结合全球和本地节点视角来增强时间图表表示学习. 这种方法可以提高动态节点分类和链接预测任务的性能.

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