Hypergraph Learning: Methods and Practices

IEEE Transactions on Pattern Analysis and Machine Intelligence(2022)

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摘要
Hypergraph learning is a technique for conducting learning on a hypergraph structure. In recent years, hypergraph learning has attracted increasing attention due to its flexibility and capability in modeling complex data correlation. In this paper, we first systematically review existing literature regarding hypergraph generation, including distance-based, representation-based, attribute-based, an...
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关键词
Learning systems,Correlation,Data models,Laplace equations,Three-dimensional displays,Brain modeling,Task analysis
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