Mask Combination of Multi-layer Graphs for Global Structure Inference
IEEE Transactions on Signal and Information Processing over Networks(2020)
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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