{"id":"https://openalex.org/W4391229136","doi":"https://doi.org/10.1007/s11633-023-1440-x","title":"Ripple Knowledge Graph Convolutional Networks for Recommendation Systems","display_name":"Ripple Knowledge Graph Convolutional Networks for Recommendation Systems","publication_year":2024,"publication_date":"2024-01-25","ids":{"openalex":"https://openalex.org/W4391229136","doi":"https://doi.org/10.1007/s11633-023-1440-x"},"language":"en","primary_location":{"id":"doi:10.1007/s11633-023-1440-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11633-023-1440-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11633-023-1440-x.pdf","source":{"id":"https://openalex.org/S4210224602","display_name":"Machine Intelligence Research","issn_l":"2731-538X","issn":["2731-538X","2731-5398"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Intelligence Research","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11633-023-1440-x.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100369885","display_name":"Chen Li","orcid":"https://orcid.org/0000-0002-8784-8148"},"institutions":[{"id":"https://openalex.org/I113306721","display_name":"Hiroshima University","ror":"https://ror.org/03t78wx29","country_code":"JP","type":"education","lineage":["https://openalex.org/I113306721"]},{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Chen Li","raw_affiliation_strings":["Graduate School of Engineering, Hiroshima University, Higashi-hiroshima, 10587, Japan","Graduate School of Informatics, Nagoya University, Chikusa, Nagoya, 464-8602, Japan"],"raw_orcid":"https://orcid.org/0000-0002-8784-8148","affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Hiroshima University, Higashi-hiroshima, 10587, Japan","institution_ids":["https://openalex.org/I113306721"]},{"raw_affiliation_string":"Graduate School of Informatics, Nagoya University, Chikusa, Nagoya, 464-8602, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052456633","display_name":"Yang Cao","orcid":"https://orcid.org/0000-0003-2184-4491"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yang Cao","raw_affiliation_strings":["Centre for Cyber Resilience and Trust, Deakin University, Burwood, 3125, Australia"],"raw_orcid":"https://orcid.org/0000-0003-2184-4491","affiliations":[{"raw_affiliation_string":"Centre for Cyber Resilience and Trust, Deakin University, Burwood, 3125, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086734254","display_name":"Ye Zhu","orcid":"https://orcid.org/0000-0003-4776-4932"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ye Zhu","raw_affiliation_strings":["Centre for Cyber Resilience and Trust, Deakin University, Burwood, 3125, Australia"],"raw_orcid":"https://orcid.org/0000-0003-4776-4932","affiliations":[{"raw_affiliation_string":"Centre for Cyber Resilience and Trust, Deakin University, Burwood, 3125, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065281913","display_name":"Debo Cheng","orcid":"https://orcid.org/0000-0002-0383-1462"},"institutions":[{"id":"https://openalex.org/I170239107","display_name":"University of South Australia","ror":"https://ror.org/01p93h210","country_code":"AU","type":"education","lineage":["https://openalex.org/I170239107"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Debo Cheng","raw_affiliation_strings":["Science, Technology, Engineering and Mathematics (STEM), University of South Australia, Adelaide, 5000, Australia"],"raw_orcid":"https://orcid.org/0000-0002-0383-1462","affiliations":[{"raw_affiliation_string":"Science, Technology, Engineering and Mathematics (STEM), University of South Australia, Adelaide, 5000, Australia","institution_ids":["https://openalex.org/I170239107"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101417093","display_name":"Chengyuan Li","orcid":"https://orcid.org/0000-0002-4422-6584"},"institutions":[{"id":"https://openalex.org/I113306721","display_name":"Hiroshima University","ror":"https://ror.org/03t78wx29","country_code":"JP","type":"education","lineage":["https://openalex.org/I113306721"]},{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Chengyuan Li","raw_affiliation_strings":["Graduate School of Engineering, Hiroshima University, Higashi-hiroshima, 10587, Japan","Graduate School of Informatics, Nagoya University, Chikusa, Nagoya, 464-8602, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Hiroshima University, Higashi-hiroshima, 10587, Japan","institution_ids":["https://openalex.org/I113306721"]},{"raw_affiliation_string":"Graduate School of Informatics, Nagoya University, Chikusa, Nagoya, 464-8602, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078425375","display_name":"Yasuhiko Morimoto","orcid":"https://orcid.org/0000-0001-7130-2864"},"institutions":[{"id":"https://openalex.org/I113306721","display_name":"Hiroshima University","ror":"https://ror.org/03t78wx29","country_code":"JP","type":"education","lineage":["https://openalex.org/I113306721"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasuhiko Morimoto","raw_affiliation_strings":["Graduate School of Engineering, Hiroshima University, Higashi-hiroshima, 10587, Japan"],"raw_orcid":"https://orcid.org/0000-0001-7130-2864","affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Hiroshima University, Higashi-hiroshima, 10587, Japan","institution_ids":["https://openalex.org/I113306721"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100369885"],"corresponding_institution_ids":["https://openalex.org/I113306721","https://openalex.org/I60134161"],"apc_list":null,"apc_paid":null,"fwci":16.1902,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.98999939,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"21","issue":"3","first_page":"481","last_page":"494"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6172267198562622},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5126746892929077},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3396915793418884},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2809644043445587}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6172267198562622},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5126746892929077},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3396915793418884},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2809644043445587}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s11633-023-1440-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11633-023-1440-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11633-023-1440-x.pdf","source":{"id":"https://openalex.org/S4210224602","display_name":"Machine Intelligence Research","issn_l":"2731-538X","issn":["2731-538X","2731-5398"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Intelligence Research","raw_type":"journal-article"},{"id":"pmh:oai:urm_publish:9916828131201831","is_oa":false,"landing_page_url":"https://find.library.unisa.edu.au/discovery/fulldisplay/alma9916828131201831/61USOUTHAUS_INST:ROR","pdf_url":null,"source":{"id":"https://openalex.org/S4306402528","display_name":"UniSA Research Outputs Repository (University of South Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I170239107","host_organization_name":"University of South Australia","host_organization_lineage":["https://openalex.org/I170239107"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"}],"best_oa_location":{"id":"doi:10.1007/s11633-023-1440-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11633-023-1440-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11633-023-1440-x.pdf","source":{"id":"https://openalex.org/S4210224602","display_name":"Machine Intelligence Research","issn_l":"2731-538X","issn":["2731-538X","2731-5398"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Intelligence Research","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391229136.pdf"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1529533208","https://openalex.org/W2042281163","https://openalex.org/W2083381833","https://openalex.org/W2099866409","https://openalex.org/W2100235918","https://openalex.org/W2117354486","https://openalex.org/W2140310134","https://openalex.org/W2149814409","https://openalex.org/W2164354502","https://openalex.org/W2262817822","https://openalex.org/W2509893387","https://openalex.org/W2519887557","https://openalex.org/W2533413719","https://openalex.org/W2574176377","https://openalex.org/W2605350416","https://openalex.org/W2615395371","https://openalex.org/W2759136286","https://openalex.org/W2767441885","https://openalex.org/W2792839191","https://openalex.org/W2884134047","https://openalex.org/W2913189157","https://openalex.org/W2913560138","https://openalex.org/W2963869731","https://openalex.org/W2972535098","https://openalex.org/W3034364571","https://openalex.org/W3097300053","https://openalex.org/W3098087397","https://openalex.org/W3102208396","https://openalex.org/W3106439716","https://openalex.org/W3123348991","https://openalex.org/W3132191748","https://openalex.org/W3134751001","https://openalex.org/W3156476916","https://openalex.org/W3202510578","https://openalex.org/W3202573936","https://openalex.org/W3213896106","https://openalex.org/W4210334834","https://openalex.org/W4226522730","https://openalex.org/W4287009771","https://openalex.org/W6718112784","https://openalex.org/W6731801563","https://openalex.org/W6732559384"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W1596801655","https://openalex.org/W2359140296"],"abstract_inverted_index":{"Abstract":[0],"Using":[1],"knowledge":[2,35,55,78],"graphs":[3,56],"to":[4,17,65,69,83],"assist":[5],"deep":[6,30],"learning":[7,31],"models":[8,107],"in":[9,77,90],"making":[10],"recommendation":[11,49],"decisions":[12],"has":[13],"recently":[14],"been":[15],"proven":[16],"effectively":[18],"improve":[19],"the":[20,59,71,74,98],"model\u2019s":[21],"interpretability":[22],"and":[23,46,62,87,115],"accuracy.":[24],"This":[25],"paper":[26],"introduces":[27],"an":[28],"end-to-end":[29],"model,":[32],"named":[33],"representation-enhanced":[34],"graph":[36],"convolutional":[37],"networks":[38],"(RKGCN),":[39],"which":[40],"dynamically":[41],"analyses":[42],"each":[43],"user\u2019s":[44],"preferences":[45],"makes":[47],"a":[48],"of":[50,73,101],"suitable":[51],"items.":[52],"It":[53],"combines":[54],"on":[57,108],"both":[58],"item":[60],"side":[61,64],"user":[63],"enrich":[66],"their":[67],"representations":[68],"maximize":[70],"utilization":[72],"abundant":[75],"information":[76],"graphs.":[79],"RKGCN":[80],"is":[81],"able":[82],"offer":[84],"more":[85],"personalized":[86],"relevant":[88],"recommendations":[89],"three":[91,109],"different":[92],"scenarios.":[93],"The":[94],"experimental":[95],"results":[96],"show":[97],"superior":[99],"effectiveness":[100],"our":[102],"model":[103],"over":[104],"5":[105],"baseline":[106],"real-world":[110],"datasets":[111],"including":[112],"movies,":[113],"books,":[114],"music.":[116]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":8}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}