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Hypergraph Representation Learning with Hyperlink Random Effects

Li, Zimeng et al.
arXiv (All) · Papers
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machine-learning
Hypergraphs record multi-way interactions among entities. Extracting information from the combinatorial structure underlying observed multi-way interactions is a central task in many real-world problems. Existing methods face several limitations. First, many deep architectures for hypergraphs do not
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