{"id":"https://openalex.org/W4387757695","doi":"https://doi.org/10.1109/access.2023.3325476","title":"A Graph Neural Network Recommendation Method Integrating Multi Head Attention Mechanism and Improved Gated Recurrent Unit Algorithm","display_name":"A Graph Neural Network Recommendation Method Integrating Multi Head Attention Mechanism and Improved Gated Recurrent Unit Algorithm","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4387757695","doi":"https://doi.org/10.1109/access.2023.3325476"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3325476","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3325476","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10287361.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10287361.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058247284","display_name":"Fang Liu","orcid":"https://orcid.org/0000-0002-7776-0222"},"institutions":[{"id":"https://openalex.org/I183006215","display_name":"Shijiazhuang University","ror":"https://ror.org/028rmam09","country_code":"CN","type":"education","lineage":["https://openalex.org/I183006215"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fang Liu","raw_affiliation_strings":["College of Internet Application Technology, Shijiazhuang Institute of Technology, Shijiazhuang, China"],"affiliations":[{"raw_affiliation_string":"College of Internet Application Technology, Shijiazhuang Institute of Technology, Shijiazhuang, China","institution_ids":["https://openalex.org/I183006215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100347490","display_name":"Juan Wang","orcid":"https://orcid.org/0000-0003-3934-0435"},"institutions":[{"id":"https://openalex.org/I183006215","display_name":"Shijiazhuang University","ror":"https://ror.org/028rmam09","country_code":"CN","type":"education","lineage":["https://openalex.org/I183006215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juan Wang","raw_affiliation_strings":["College of Internet Application Technology, Shijiazhuang Institute of Technology, Shijiazhuang, China"],"affiliations":[{"raw_affiliation_string":"College of Internet Application Technology, Shijiazhuang Institute of Technology, Shijiazhuang, China","institution_ids":["https://openalex.org/I183006215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101662685","display_name":"Junye Yang","orcid":"https://orcid.org/0009-0009-1307-781X"},"institutions":[{"id":"https://openalex.org/I183006215","display_name":"Shijiazhuang University","ror":"https://ror.org/028rmam09","country_code":"CN","type":"education","lineage":["https://openalex.org/I183006215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junye Yang","raw_affiliation_strings":["College of Internet Application Technology, Shijiazhuang Institute of Technology, Shijiazhuang, China"],"affiliations":[{"raw_affiliation_string":"College of Internet Application Technology, Shijiazhuang Institute of Technology, Shijiazhuang, China","institution_ids":["https://openalex.org/I183006215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5058247284"],"corresponding_institution_ids":["https://openalex.org/I183006215"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.7399,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.92085051,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"11","issue":null,"first_page":"116879","last_page":"116891"},"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":0.9961000084877014,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9746000170707703,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.818273663520813},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.591209352016449},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5646340250968933},{"id":"https://openalex.org/keywords/dropout","display_name":"Dropout (neural networks)","score":0.5637598037719727},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4842205047607422},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4747260808944702},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4694879651069641},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44130969047546387},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4286549389362335},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39955466985702515},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34811627864837646},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.28505969047546387}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.818273663520813},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.591209352016449},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5646340250968933},{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.5637598037719727},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4842205047607422},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4747260808944702},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4694879651069641},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44130969047546387},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4286549389362335},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39955466985702515},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34811627864837646},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.28505969047546387},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3325476","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3325476","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10287361.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:27f808f57e4143788a56a980d4a3ece5","is_oa":true,"landing_page_url":"https://doaj.org/article/27f808f57e4143788a56a980d4a3ece5","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 116879-116891 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3325476","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3325476","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10287361.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387757695.pdf","grobid_xml":"https://content.openalex.org/works/W4387757695.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W2980088075","https://openalex.org/W3001978579","https://openalex.org/W3004172495","https://openalex.org/W3006498684","https://openalex.org/W3015616869","https://openalex.org/W3024608174","https://openalex.org/W3044803186","https://openalex.org/W3045996352","https://openalex.org/W3048952023","https://openalex.org/W3094560411","https://openalex.org/W3113470404","https://openalex.org/W3128451008","https://openalex.org/W3176080685","https://openalex.org/W3189845972","https://openalex.org/W3194821228","https://openalex.org/W3210648303","https://openalex.org/W4210776960","https://openalex.org/W4238848851","https://openalex.org/W4281624602","https://openalex.org/W4312426142"],"related_works":["https://openalex.org/W3082178636","https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2381570729","https://openalex.org/W1976205134","https://openalex.org/W4248336175","https://openalex.org/W1521968289","https://openalex.org/W2150182025"],"abstract_inverted_index":{"To":[0],"improve":[1],"the":[2,28,55,60,68,73,81,87,93,124],"accuracy":[3,111],"of":[4,34,63,77,126],"graph":[5,22,37,97],"neural":[6,23,38,98],"network":[7,24,39,99],"recommendation":[8,25,110,129],"algorithms,":[9],"research":[10,50],"mainly":[11],"integrates":[12],"multi":[13],"head":[14],"attention":[15],"mechanism":[16],"and":[17,30,43,86,104,119],"GRU":[18,78],"to":[19,113],"construct":[20],"a":[21,36],"model;":[26],"Considering":[27],"long":[29,42,103],"short":[31,44,105],"term":[32,45,106],"preferences":[33,46,107,121],"users,":[35],"algorithm":[40,100],"integrating":[41],"is":[47],"constructed.":[48],"The":[49,96],"results":[51],"indicated":[52],"that":[53],"when":[54],"embedding":[56],"dimension":[57],"was":[58,66,71,79,84,90],"64,":[59,67],"batch":[61],"size":[62],"selected":[64],"samples":[65],"learning":[69],"rate":[70],"0.0005,":[72],"vertical":[74],"stacking":[75],"layer":[76],"2,":[80],"iteration":[82],"period":[83],"5,":[85],"dropout":[88],"probability":[89],"50%":[91],"with":[92],"best":[94],"performance.":[95],"based":[101],"on":[102],"had":[108],"higher":[109],"compared":[112],"other":[114],"algorithms.":[115],"Modeling":[116],"users\u2019":[117],"short-term":[118],"long-term":[120],"can":[122],"achieve":[123],"goal":[125],"comprehensively":[127],"improving":[128],"effectiveness.":[130]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}