Mask Combination of Multi-layer Graphs for Global Structure Inference

IEEE Transactions on Signal and Information Processing over Networks(2020)

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摘要
Structure inference is an important task for network data processing and analysis in data science. In recent years, quite a few approaches have been developed to learn the graph structure underlying a set of observations captured in a data space. Although real-world data is often acquired in settings where relationships are influenced by a priori known rules, such domain knowledge is still not wel...
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关键词
Task analysis,Social network services,Semisupervised learning,Signal representation,Data analysis,Laplace equations,Information processing
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