RASH learns relation importance from a dual heterogeneous hypergraph, constructs homophilic and heterophilic views, and uses contrastive learning to improve heterogeneous graph representations.
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Enhancing Homophily-Heterophily Separation: Relation-Aware Learning in Heterogeneous Graphs
RASH learns relation importance from a dual heterogeneous hypergraph, constructs homophilic and heterophilic views, and uses contrastive learning to improve heterogeneous graph representations.