Dynamic Graph Networks for Sequential Recommender System with Personalised Subgraph Explanations: a Subgraph Isomorphism Counting Approach

Additional Metadata
Keywords	recommender systems; sequential recommendation; dynamic graph neural networks; explainability; subgraphs; isomorphism counting
Thesis Advisor	Donkers, ACD
Persistent URL	hdl.handle.net/2105/70241
Series	Business Economics
Organisation	Erasmus School of Economics
Citation APA APA Style APA-ALL Style AAA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Yan, B. (2023). Dynamic Graph Networks for Sequential Recommender System with Personalised Subgraph Explanations: a Subgraph Isomorphism Counting Approach. In Business Economics.http://hdl.handle.net/2105/70241

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