KGAT:Knowledge Graph Attention Network for Recommendation.pdf
Toprovidemoreaccurate,diverse,andexplainablerecommendation,itiscompulsorytogobeyondmodelinguser-iteminteractionsandtakesideinformationintoaccount.Traditionalmethodslikefactorizationmachine(FM)castitasasupervisedlearningproblem,whichassumeseachinteractionasanindependentinstancewithsidei
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