{"id":"https://openalex.org/W4414360000","doi":"https://doi.org/10.24963/ijcai.2025/350","title":"Variational Graph Auto-Encoder Driven Graph Enhancement for Sequential Recommendation","display_name":"Variational Graph Auto-Encoder Driven Graph Enhancement for Sequential Recommendation","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W4414360000","doi":"https://doi.org/10.24963/ijcai.2025/350"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2025/350","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/350","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-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/A5045110474","display_name":"Yuwen Liu","orcid":"https://orcid.org/0000-0002-4911-5744"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuwen Liu","raw_affiliation_strings":["China University of Petroleum (East China)","Shandong Key Laboratory of Intelligent Oil and Gas Industrial Software"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China University of Petroleum (East China)","institution_ids":["https://openalex.org/I4210162190"]},{"raw_affiliation_string":"Shandong Key Laboratory of Intelligent Oil and Gas Industrial Software","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006514077","display_name":"Lianyong Qi","orcid":"https://orcid.org/0000-0001-9875-9856"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]},{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianyong Qi","raw_affiliation_strings":["China University of Petroleum (East China)","Nanjing University","Shandong Key Laboratory of Intelligent Oil and Gas Industrial Software"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China University of Petroleum (East China)","institution_ids":["https://openalex.org/I4210162190"]},{"raw_affiliation_string":"Nanjing University","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"Shandong Key Laboratory of Intelligent Oil and Gas Industrial Software","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114213902","display_name":"Xingyuan Mao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingyuan Mao","raw_affiliation_strings":["China University of Petroleum (East China)","Shandong Key Laboratory of Intelligent Oil and Gas Industrial Software"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China University of Petroleum (East China)","institution_ids":["https://openalex.org/I4210162190"]},{"raw_affiliation_string":"Shandong Key Laboratory of Intelligent Oil and Gas Industrial Software","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007858277","display_name":"Weiming Liu","orcid":"https://orcid.org/0000-0002-4115-7667"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiming Liu","raw_affiliation_strings":["Zhejiang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034495880","display_name":"Shichao Pei","orcid":"https://orcid.org/0000-0002-0802-1506"},"institutions":[{"id":"https://openalex.org/I33434090","display_name":"University of Massachusetts Boston","ror":"https://ror.org/04ydmy275","country_code":"US","type":"education","lineage":["https://openalex.org/I33434090"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shichao Pei","raw_affiliation_strings":["University of Massachusetts Boston"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts Boston","institution_ids":["https://openalex.org/I33434090"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088784958","display_name":"Fan Wang","orcid":"https://orcid.org/0000-0002-0953-6923"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Wang","raw_affiliation_strings":["Zhejiang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076120553","display_name":"Xuyun Zhang","orcid":"https://orcid.org/0000-0001-7353-4159"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xuyun Zhang","raw_affiliation_strings":["Macquarie University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Macquarie University","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056293251","display_name":"Amin Beheshti","orcid":"https://orcid.org/0000-0002-5988-5494"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Amin Beheshti","raw_affiliation_strings":["Macquarie University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Macquarie University","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055675863","display_name":"Xiaokang Zhou","orcid":"https://orcid.org/0000-0003-3488-4679"},"institutions":[{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]},{"id":"https://openalex.org/I56624758","display_name":"Kansai University","ror":"https://ror.org/03xg1f311","country_code":"JP","type":"education","lineage":["https://openalex.org/I56624758"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xiaokang Zhou","raw_affiliation_strings":["Kansai University","RIKEN Center for Advanced Intelligence Project"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kansai University","institution_ids":["https://openalex.org/I56624758"]},{"raw_affiliation_string":"RIKEN Center for Advanced Intelligence Project","institution_ids":["https://openalex.org/I4210126580"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.343628,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3144","last_page":"3152"},"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":0.984499990940094,"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":0.9075000286102295,"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/recommender-system","display_name":"Recommender system","score":0.6674000024795532},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6190000176429749},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.5126000046730042},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.4442000091075897},{"id":"https://openalex.org/keywords/latent-variable-model","display_name":"Latent variable model","score":0.42590001225471497},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.3831000030040741},{"id":"https://openalex.org/keywords/noisy-data","display_name":"Noisy data","score":0.3747999966144562}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.746399998664856},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6674000024795532},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6190000176429749},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.5126000046730042},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.4442000091075897},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4262999892234802},{"id":"https://openalex.org/C65965080","wikidata":"https://www.wikidata.org/wiki/Q1806885","display_name":"Latent variable model","level":3,"score":0.42590001225471497},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4180999994277954},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3846000134944916},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.3831000030040741},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.3747999966144562},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36419999599456787},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.32710000872612},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.31690001487731934},{"id":"https://openalex.org/C2776156558","wikidata":"https://www.wikidata.org/wiki/Q4353746","display_name":"MovieLens","level":4,"score":0.2928999960422516},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.2800000011920929},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27410000562667847},{"id":"https://openalex.org/C146380142","wikidata":"https://www.wikidata.org/wiki/Q1137726","display_name":"Directed graph","level":2,"score":0.2623000144958496},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.2606000006198883},{"id":"https://openalex.org/C115174607","wikidata":"https://www.wikidata.org/wiki/Q1100934","display_name":"Click-through rate","level":2,"score":0.2547000050544739},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.25209999084472656}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2025/350","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/350","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Recommender":[0],"systems":[1],"play":[2],"a":[3,20,71,101,129,163],"critical":[4],"role":[5],"in":[6,31,83],"many":[7],"applications":[8],"by":[9,43],"providing":[10],"personalized":[11],"recommendations":[12],"based":[13],"on":[14,181],"user":[15,32,145,157],"interactions.":[16],"However,":[17],"it":[18],"remains":[19],"major":[21],"challenge":[22],"to":[23,65,95,106,134,166],"capture":[24,96],"complex":[25],"sequential":[26,41,84],"patterns":[27],"and":[28,99,141,160,173,193],"address":[29],"noise":[30],"interaction":[33,54],"data.":[34],"While":[35],"advanced":[36],"neural":[37],"networks":[38],"have":[39],"enhanced":[40],"recommendation":[42,67,169,175,191],"modeling":[44],"high-order":[45],"item":[46,92,124,150],"dependencies,":[47],"they":[48],"typically":[49],"assume":[50],"that":[51,186],"the":[52,57,123,148,155,168,174],"noisy":[53],"data":[55],"as":[56],"user's":[58],"preferred":[59],"preferences.":[60],"This":[61],"assumption":[62],"can":[63,121],"lead":[64],"suboptimal":[66],"results.":[68],"We":[69],"propose":[70],"Variational":[72,102],"Graph":[73,76,103,130],"Auto-Encoder":[74,104],"driven":[75],"Enhancement":[77],"(VGAE-GE)":[78],"method":[79,88],"for":[80,117],"robust":[81,144],"augmentation":[82],"recommendation.":[85],"Specifically,":[86],"our":[87,187],"first":[89],"constructs":[90],"an":[91],"transition":[93],"graph":[94,118],"higher-order":[97],"interactions":[98],"employs":[100],"(VGAE)":[105],"generate":[107],"latent":[108,114,137],"variable":[109,115],"distributions.":[110],"By":[111],"utilizing":[112],"these":[113,136],"distributions":[116],"reconstruction,":[119],"we":[120,127,153],"improve":[122],"representation.":[125],"Next,":[126],"use":[128,162],"Convolutional":[131],"Network":[132],"(GCN)":[133],"transform":[135],"variables":[138],"into":[139],"embeddings":[140],"infer":[142],"more":[143,171,177],"representations":[146],"from":[147],"updated":[149],"embeddings.":[151],"Finally,":[152],"obtain":[154],"reconstructed":[156],"check-in":[158],"data,":[159],"then":[161],"Mamba-based":[164],"recommender":[165],"make":[167],"process":[170],"efficient":[172],"results":[176],"accurate.":[178],"Extensive":[179],"experiments":[180],"five":[182],"public":[183],"datasets":[184],"demonstrate":[185],"VGAE-GE":[188],"model":[189],"improves":[190],"performance":[192],"robustness.":[194]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}