{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T15:07:19Z","timestamp":1772118439010,"version":"3.50.1"},"reference-count":72,"publisher":"World Scientific Pub Co Pte Ltd","issue":"03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Info. Know. Mgmt."],"published-print":{"date-parts":[[2023,6]]},"abstract":"<jats:p> Knowledge Graphs (KGs) have been shown to have great potential to provide rich and highly defined structured data about Recommender Systems (RSs) items. This paper introduces Explain- KGCN, an Explainable RS based on KGs and Graph Convolutional Networks (GCNs). The system emphasises the importance of semantic information characterisation and high-order connectivity of message passing to explore potential user preferences. Thus, based on a relation-specific neighbourhood aggregation function, it aims to generate for each given item a set of relation-specific embeddings that depend on each semantic relation in the KG. Specifically, the relation-specific aggregator discriminates neighbours based on their relationship with the target node, allowing the system to model the semantics of various relationships explicitly. Experiments conducted on two real-world datasets for the top-K recommendation task demonstrate the state-of-the-art performance of the system proposed. Besides improving predictive performance in terms of precision and recall, Explain-KGCN fully exploits wealthy structured information provided by KGs to offer recommendation explanation. <\/jats:p>","DOI":"10.1142\/s0219649222500988","type":"journal-article","created":{"date-parts":[[2023,1,30]],"date-time":"2023-01-30T08:49:00Z","timestamp":1675068540000},"source":"Crossref","is-referenced-by-count":4,"title":["Explainable Recommendation Based on Weighted Knowledge Graphs and Graph Convolutional Networks"],"prefix":"10.1142","volume":"22","author":[{"given":"Rima","family":"Boughareb","sequence":"first","affiliation":[{"name":"Department of Computer Science, Badji Mokhtar - Annaba University, Annaba, Algeria"},{"name":"LabGED Laboratory, Badji Mokhtar - Annaba University, P.O. Box 12, Annaba, Algeria"}]},{"given":"Hassina","family":"Seridi","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Badji Mokhtar - Annaba University, Annaba, Algeria"},{"name":"LabGED Laboratory, Badji Mokhtar - Annaba University, P.O. Box 12, Annaba, Algeria"}]},{"given":"Samia","family":"Beldjoudi","sequence":"additional","affiliation":[{"name":"LabGED Laboratory, Badji Mokhtar - Annaba University, P.O. 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