graphs-6
hypergraph embedding
3260 papers • 126 benchmarks • 313 datasets
Compute useful representations of hyperedges and vertices
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Deep Hyperedges: a Framework for Transductive and Inductive Learning on Hypergraphs
Josh Payne•Sun Oct 06 2019
This work proposes Deep Hyperedges (DHE), a modular framework that jointly uses contextual and permutation-invariant vertex membership properties of hyperedges in hypergraphs to perform classification and regression in transductive and inductive learning settings.
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