Learning on Hypergraphs With Sparsity

IEEE Transactions on Pattern Analysis and Machine Intelligence(2021)

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摘要
Hypergraph is a general way of representing high-order relations on a set of objects. It is a generalization of graph, in which only pairwise relations can be represented. It finds applications in various domains where relationships of more than two objects are observed. On a hypergraph, as a generalization of graph, one wishes to learn a smooth function with respect to its topology. A fundamental...
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关键词
Noise measurement,Data models,Laplace equations,Additives,Machine learning,Computational modeling,Topology
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