DGCU: A new deep directed method based on Gaussian embedding for clustering uncertain graphs
Computers and Electrical Engineering(2022)
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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