-CL:

Zhaoci Huang1, Wenzhe Xu1, Xinjian Zhuo1

  • 1School of Science, Beijing University of Posts and Telecommunications, Beijing 100876, China.

PubMed
概括

本研究介绍了社区对比学习 (Community-CL),这是图形表示学习和社区检测的新框架. 社区-CL通过改进节点嵌入和社区结构发现来增强网络分析.

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Difference from Background: Limit of Detection

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Community Based Intervention01:30

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Cluster Sampling Method01:20

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Kendall's Coefficient of Concordance01:20

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Wilcoxon Signed-Ranks Test for Matched Pairs01:09

Wilcoxon Signed-Ranks Test for Matched Pairs

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