DGCU: A new deep directed method based on Gaussian embedding for clustering uncertain graphs

Computers and Electrical Engineering(2022)

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摘要
•A new deep Gaussian embedding method for clustering uncertain graph•Extract global information of graph structure to enhance connection probabilities•A Constrained embedding module to learn a clustering-friendly representation•Superiority of our method in effectiveness and reliability
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关键词
Gaussian embedding,Uncertain graphs,Clustering,Deep neural network
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