KGAT:Knowledge Graph Attention Network for Recommendation.pdf

Toprovidemoreaccurate,diverse,andexplainablerecommendation,itiscompulsorytogobeyondmodelinguser-iteminteractionsandtakesideinformationintoaccount.Traditionalmethodslikefactorizationmachine(FM)castitasasupervisedlearningproblem,whichassumeseachinteractionasanindependentinstancewithsidei