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 Style AAA Style APA 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, November 14). Dynamic Graph Networks for Sequential Recommender System with Personalised Subgraph Explanations: a Subgraph Isomorphism Counting Approach. Business Economics. Retrieved from http://hdl.handle.net/2105/70241

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