{"id":"https://openalex.org/W4406207545","doi":"https://doi.org/10.1109/tetci.2024.3516087","title":"Embedding Guarantor: Knowledge-Enhanced Graph Learning for New Item Cold-Start Recommendation","display_name":"Embedding Guarantor: Knowledge-Enhanced Graph Learning for New Item Cold-Start Recommendation","publication_year":2025,"publication_date":"2025-01-09","ids":{"openalex":"https://openalex.org/W4406207545","doi":"https://doi.org/10.1109/tetci.2024.3516087"},"language":"en","primary_location":{"id":"doi:10.1109/tetci.2024.3516087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2024.3516087","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101957143","display_name":"Zhipeng Zhang","orcid":"https://orcid.org/0000-0002-3733-697X"},"institutions":[{"id":"https://openalex.org/I153374732","display_name":"Liaoning Normal University","ror":"https://ror.org/04c3cgg32","country_code":"CN","type":"education","lineage":["https://openalex.org/I153374732"]},{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["CN","JP"],"is_corresponding":true,"raw_author_name":"Zhipeng Zhang","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Liaoning Normal University, Dalian, China","Department of Systems Innovation, Osaka University, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Liaoning Normal University, Dalian, China","institution_ids":["https://openalex.org/I153374732"]},{"raw_affiliation_string":"Department of Systems Innovation, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107863043","display_name":"Y. S. Zhu","orcid":"https://orcid.org/0009-0000-7116-3577"},"institutions":[{"id":"https://openalex.org/I153374732","display_name":"Liaoning Normal University","ror":"https://ror.org/04c3cgg32","country_code":"CN","type":"education","lineage":["https://openalex.org/I153374732"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youfu Zhu","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Liaoning Normal University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Liaoning Normal University, Dalian, China","institution_ids":["https://openalex.org/I153374732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061453937","display_name":"Mianxiong Dong","orcid":"https://orcid.org/0000-0002-2788-3451"},"institutions":[{"id":"https://openalex.org/I41725924","display_name":"Muroran Institute of Technology","ror":"https://ror.org/04rymkk69","country_code":"JP","type":"education","lineage":["https://openalex.org/I41725924"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mianxiong Dong","raw_affiliation_strings":["Department of Sciences and Informatics, Muroran Institute of Technology, Muroran, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Sciences and Informatics, Muroran Institute of Technology, Muroran, Japan","institution_ids":["https://openalex.org/I41725924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106707877","display_name":"Kaoru Ota","orcid":"https://orcid.org/0000-0002-3382-1652"},"institutions":[{"id":"https://openalex.org/I41725924","display_name":"Muroran Institute of Technology","ror":"https://ror.org/04rymkk69","country_code":"JP","type":"education","lineage":["https://openalex.org/I41725924"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kaoru Ota","raw_affiliation_strings":["Department of Sciences and Informatics, Muroran Institute of Technology, Muroran, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Sciences and Informatics, Muroran Institute of Technology, Muroran, Japan","institution_ids":["https://openalex.org/I41725924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108207864","display_name":"Yao Zhang","orcid":"https://orcid.org/0009-0004-2608-7818"},"institutions":[{"id":"https://openalex.org/I88372448","display_name":"Dalian Polytechnic University","ror":"https://ror.org/00c7x4a95","country_code":"CN","type":"education","lineage":["https://openalex.org/I88372448"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Zhang","raw_affiliation_strings":["School of Mechanical Engineering and Automation, Dalian Polytechnic University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Dalian Polytechnic University, Dalian, China","institution_ids":["https://openalex.org/I88372448"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036084655","display_name":"Yonggong Ren","orcid":"https://orcid.org/0009-0003-4425-3739"},"institutions":[{"id":"https://openalex.org/I153374732","display_name":"Liaoning Normal University","ror":"https://ror.org/04c3cgg32","country_code":"CN","type":"education","lineage":["https://openalex.org/I153374732"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonggong Ren","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Liaoning Normal University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Liaoning Normal University, Dalian, China","institution_ids":["https://openalex.org/I153374732"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101957143"],"corresponding_institution_ids":["https://openalex.org/I153374732","https://openalex.org/I98285908"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00400099,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":"5","first_page":"3311","last_page":"3324"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9983000159263611,"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":0.9983000159263611,"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":0.991100013256073,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9909999966621399,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6792048811912537},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.6606212854385376},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5776298642158508},{"id":"https://openalex.org/keywords/cold-start","display_name":"Cold start (automotive)","score":0.528602123260498},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5218654870986938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4090465307235718},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3326985836029053},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2959396243095398},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1006757915019989}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6792048811912537},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.6606212854385376},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5776298642158508},{"id":"https://openalex.org/C2778956030","wikidata":"https://www.wikidata.org/wiki/Q5142477","display_name":"Cold start (automotive)","level":2,"score":0.528602123260498},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5218654870986938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4090465307235718},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3326985836029053},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2959396243095398},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1006757915019989},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tetci.2024.3516087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2024.3516087","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W2010187764","https://openalex.org/W2184957013","https://openalex.org/W2476398267","https://openalex.org/W2509893387","https://openalex.org/W2533696134","https://openalex.org/W2787900111","https://openalex.org/W2792839191","https://openalex.org/W2807021761","https://openalex.org/W2884134047","https://openalex.org/W2912351665","https://openalex.org/W2945623882","https://openalex.org/W2945827670","https://openalex.org/W2955597675","https://openalex.org/W2955624969","https://openalex.org/W2963878746","https://openalex.org/W2963911286","https://openalex.org/W3012177510","https://openalex.org/W3015045735","https://openalex.org/W3034364571","https://openalex.org/W3036891019","https://openalex.org/W3045200674","https://openalex.org/W3090865871","https://openalex.org/W3113410469","https://openalex.org/W3114654929","https://openalex.org/W3127879071","https://openalex.org/W3153108722","https://openalex.org/W3155323182","https://openalex.org/W3167916442","https://openalex.org/W3170223241","https://openalex.org/W3196228727","https://openalex.org/W4226253567","https://openalex.org/W4285821868","https://openalex.org/W4319866145","https://openalex.org/W4324291242","https://openalex.org/W4324291664","https://openalex.org/W4366773981","https://openalex.org/W4385741007","https://openalex.org/W4390576827","https://openalex.org/W4392693765"],"related_works":["https://openalex.org/W2604454537","https://openalex.org/W2883748392","https://openalex.org/W2897702399","https://openalex.org/W4206028705","https://openalex.org/W2757431232","https://openalex.org/W2808284704","https://openalex.org/W2954554213","https://openalex.org/W2251363251","https://openalex.org/W4206547516","https://openalex.org/W4293236197"],"abstract_inverted_index":{"Graph":[0,76],"neural":[1],"networks":[2],"(GNNs)":[3],"are":[4,200],"widely":[5],"utilized":[6],"in":[7,30,48,220],"recommender":[8],"systems":[9],"because":[10,38],"they":[11],"can":[12],"produce":[13,123],"effective":[14,92],"embeddings":[15,63,85,179],"by":[16],"incorporating":[17],"high-order":[18,159],"collaborative":[19,160],"information":[20,101,161],"from":[21,102],"neighbors.":[22,148],"However,":[23],"traditional":[24,57],"GNN-based":[25],"recommendation":[26],"approaches":[27,219],"face":[28],"limitations":[29],"the":[31,82,132,139,167,175,186,195],"new":[32,39,87,223],"item":[33,224],"cold-start":[34,52,95,144,212,225],"scenario.":[35],"This":[36],"is":[37],"items":[40,88,145,193],"typically":[41],"have":[42],"limited":[43,66],"or":[44,50],"no":[45],"neighbors,":[46],"resulting":[47],"incomplete":[49],"complete":[51],"scenarios.":[53,96],"In":[54],"such":[55],"cases,":[56],"GNNs":[58],"struggle":[59],"to":[60,65,105,122,157,202],"generate":[61],"high-quality":[62],"due":[64],"neighbor":[67],"information.":[68],"To":[69],"this":[70],"end,":[71],"we":[72],"propose":[73],"a":[74,117,124,152],"Knowledge-Enhanced":[75],"Learning":[77],"(KEGL)":[78],"approach,":[79],"which":[80,130,173],"ensures":[81],"quality":[83,134],"of":[84,170,177,183,222],"for":[86,127,135,143,180],"and":[89,109,146,162],"further":[90],"enables":[91],"recommendations":[93],"under":[94,211],"KEGL":[97,115,150,216],"initially":[98],"leverages":[99],"semantic":[100,163],"knowledge":[103],"graph":[104],"parameterize":[106],"each":[107,128,136,171],"node":[108,137],"relation":[110],"as":[111],"vector":[112],"representations.":[113],"Then,":[114],"introduces":[116],"knowledge-enhanced":[118,153],"guaranteed":[119,125],"embedding":[120,126,133],"generator":[121],"entity,":[129],"guarantees":[131,174],"during":[138],"convolution":[140],"process,":[141],"especially":[142],"their":[147],"Moreover,":[149],"employs":[151],"gated":[154],"attention":[155],"aggregator":[156],"capture":[158],"representations":[164],"based":[165],"on":[166,207],"specific":[168],"characteristics":[169],"node,":[172],"generation":[176],"distinctive":[178],"different":[181],"types":[182],"nodes.":[184],"Finally,":[185],"top":[187],"<inline-formula":[188],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[189],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[190],"notation=\"LaTeX\">$N$</tex-math></inline-formula>":[191],"un-interacted":[192],"with":[194],"highest":[196],"predicted":[197],"interaction":[198],"probability":[199],"recommended":[201],"target":[203],"users.":[204],"Experimental":[205],"results":[206],"two":[208],"public":[209],"datasets":[210],"scenarios":[213],"demonstrate":[214],"that":[215],"outperforms":[217],"state-of-the-art":[218],"terms":[221],"recommendations.":[226]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
