{"id":"https://openalex.org/W4312332958","doi":"https://doi.org/10.1109/access.2022.3215161","title":"Research on Neural Graph Collaborative Filtering Recommendation Model Fused With Item Temporal Sequence Relationships","display_name":"Research on Neural Graph Collaborative Filtering Recommendation Model Fused With Item Temporal Sequence Relationships","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4312332958","doi":"https://doi.org/10.1109/access.2022.3215161"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3215161","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3215161","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09921290.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/ielx7/6287639/6514899/09921290.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017010621","display_name":"Dewen Seng","orcid":"https://orcid.org/0000-0003-0921-848X"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dewen Seng","raw_affiliation_strings":["Key Laboratory of Complex Systems Modeling and Simulation, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Complex Systems Modeling and Simulation, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049722338","display_name":"Mengfan Li","orcid":"https://orcid.org/0000-0003-4077-5874"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengfan Li","raw_affiliation_strings":["Key Laboratory of Complex Systems Modeling and Simulation, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4077-5874","affiliations":[{"raw_affiliation_string":"Key Laboratory of Complex Systems Modeling and Simulation, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100402649","display_name":"Xuefeng Zhang","orcid":"https://orcid.org/0000-0002-7735-6342"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuefeng Zhang","raw_affiliation_strings":["Key Laboratory of Complex Systems Modeling and Simulation, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Complex Systems Modeling and Simulation, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031301009","display_name":"Jingchang Wang","orcid":"https://orcid.org/0000-0001-7626-799X"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingchang Wang","raw_affiliation_strings":["Key Laboratory of Complex Systems Modeling and Simulation, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7626-799X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Complex Systems Modeling and Simulation, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5017010621"],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.552,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.916673,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"10","issue":null,"first_page":"116972","last_page":"116981"},"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":0.9941999912261963,"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/T10028","display_name":"Topic Modeling","score":0.9829999804496765,"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":0.7727527618408203},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5449629426002502},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5078063607215881},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.49542272090911865},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4557681679725647},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.45397356152534485},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.35194268822669983},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2254314422607422}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7727527618408203},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5449629426002502},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5078063607215881},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.49542272090911865},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4557681679725647},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.45397356152534485},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.35194268822669983},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2254314422607422},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3215161","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3215161","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09921290.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2356a03539364b64b24e806c01934ce3","is_oa":true,"landing_page_url":"https://doaj.org/article/2356a03539364b64b24e806c01934ce3","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 116972-116981 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3215161","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3215161","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09921290.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/W4312332958.pdf","grobid_xml":"https://content.openalex.org/works/W4312332958.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1888005072","https://openalex.org/W1925450849","https://openalex.org/W2042281163","https://openalex.org/W2114508388","https://openalex.org/W2117130368","https://openalex.org/W2140310134","https://openalex.org/W2157530295","https://openalex.org/W2159094788","https://openalex.org/W2194775991","https://openalex.org/W2605350416","https://openalex.org/W2621465063","https://openalex.org/W2798868970","https://openalex.org/W2802187397","https://openalex.org/W2807021761","https://openalex.org/W2889386526","https://openalex.org/W2897167574","https://openalex.org/W2913560138","https://openalex.org/W2945827670","https://openalex.org/W2962756421","https://openalex.org/W3045200674","https://openalex.org/W3100278010","https://openalex.org/W3100848837","https://openalex.org/W3106439716","https://openalex.org/W3145323629","https://openalex.org/W3145582081","https://openalex.org/W3153496855","https://openalex.org/W3172854437","https://openalex.org/W3176074827","https://openalex.org/W4224314868","https://openalex.org/W4225868472","https://openalex.org/W4281562039","https://openalex.org/W4283820467","https://openalex.org/W4284707459","https://openalex.org/W4297733535","https://openalex.org/W6745537798"],"related_works":["https://openalex.org/W2772628444","https://openalex.org/W1484355083","https://openalex.org/W4220714703","https://openalex.org/W2098758514","https://openalex.org/W2735929803","https://openalex.org/W3008845055","https://openalex.org/W2170391450","https://openalex.org/W4376854386","https://openalex.org/W2202724490","https://openalex.org/W2508671622"],"abstract_inverted_index":{"Graph":[0],"neural":[1,66,137,192],"network":[2,67,138],"is":[3,37,40,166,176],"blossoming":[4],"recently,and":[5],"it":[6,14,22],"can":[7,15],"explicitly":[8],"express":[9],"user-item":[10,85,145,156,172,181],"high-order":[11],"connectivity":[12],"information,so":[13],"significantly":[16,213],"improve":[17],"the":[18,28,34,45,51,95,105,109,116,126,134,141,149,169,180,208],"recommendation":[19,69,81,195],"performance":[20,210],"when":[21],"applied":[23],"to":[24,43,139,148],"recommender":[25],"system.":[26],"However,":[27],"existing":[29],"methods":[30],"usually":[31],"assume":[32],"that":[33,76,83,207],"user\u2019s":[35,46],"interest":[36,48],"invariant,and":[38],"there":[39],"insufficient":[41],"explore":[42],"charactertize":[44],"dynamic":[47,127],"changes":[49,128],"through":[50,104,179],"temporal":[52,73,90,97,111,120,162],"sequences":[53,91,98,112,121,163],"dependencies":[54],"of":[55,102,118,129,144,155,171],"items.":[56],"In":[57],"this":[58],"paper,":[59],"we":[60],"propose":[61],"a":[62,78,190],"research":[63],"on":[64,215],"graph":[65,136,183,191],"collaborative":[68,193],"model":[70,82,209],"fused":[71],"item":[72,89,96,110,119,161,185],"sequence":[74,174,186],"relation,":[75],"is,":[77],"top-N":[79],"hybrid":[80,153],"fuses":[84],"interaction":[86,158,173,182],"information":[87,143,159,165,175],"and":[88,123,132,146,160,168,184,202,221],"dependencies.":[92],"It":[93],"divides":[94],"into":[99],"several":[100],"groups":[101],"subsequences":[103],"sliding":[106],"window,":[107],"constructs":[108],"dependency":[113,164,187],"graph,":[114,188],"aggregates":[115],"characteristics":[117],"information,":[122],"deeply":[124],"depict":[125],"users\u2019":[130],"interests,":[131],"uses":[133],"bipartite":[135],"map":[140],"high-dimensional":[142],"item-item":[147],"low-dimensional":[150],"space.":[151],"The":[152],"embedding":[154,198],"historical":[157],"realized,":[167],"expression":[170],"enhanced.":[177],"Finally,":[178],"constructed":[189],"filtering":[194],"framework":[196],"including":[197],"layer,aggregation":[199],"layer,propagation":[200],"layer":[201],"prediction":[203],"layer.":[204],"Experiments":[205],"demonstrate":[206],"has":[211],"been":[212],"improved":[214],"datasets":[216],"such":[217],"as":[218],"LastFM,":[219],"Ciao":[220],"Douban.":[222]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}