{"id":"https://openalex.org/W4416016844","doi":"https://doi.org/10.1145/3746252.3761248","title":"Generative Data Augmentation in Graph Contrastive Learning for Recommendation","display_name":"Generative Data Augmentation in Graph Contrastive Learning for Recommendation","publication_year":2025,"publication_date":"2025-11-07","ids":{"openalex":"https://openalex.org/W4416016844","doi":"https://doi.org/10.1145/3746252.3761248"},"language":"en","primary_location":{"id":"doi:10.1145/3746252.3761248","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746252.3761248","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2510.09129","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yansong Wang","orcid":"https://orcid.org/0009-0009-0671-6652"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yansong Wang","raw_affiliation_strings":["College of Computer and Information Science, Southwest University, Chongqing, China"],"raw_orcid":"https://orcid.org/0009-0009-0671-6652","affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059919635","display_name":"Qihui Lin","orcid":"https://orcid.org/0009-0000-1643-2578"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qihui Lin","raw_affiliation_strings":["College of Computer and Information Science, Southwest University, Chongqing, China"],"raw_orcid":"https://orcid.org/0009-0000-1643-2578","affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Junjie Huang","orcid":"https://orcid.org/0009-0002-2046-5393"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjie Huang","raw_affiliation_strings":["College of Computer and Information Science, Southwest University, Chongqing, China"],"raw_orcid":"https://orcid.org/0009-0002-2046-5393","affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019949140","display_name":"Tao Jia","orcid":"https://orcid.org/0000-0002-2337-2857"},"institutions":[{"id":"https://openalex.org/I126924076","display_name":"Chongqing Normal University","ror":"https://ror.org/01dcw5w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I126924076"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Jia","raw_affiliation_strings":["College of Computer and Information Science, Southwest University, Chongqing, China and College of Computer and Information Science, Chongqing Normal University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-2337-2857","affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Southwest University, Chongqing, China and College of Computer and Information Science, Chongqing Normal University, Chongqing, China","institution_ids":["https://openalex.org/I126924076"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3155","last_page":"3165"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.6851999759674072,"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":0.6851999759674072,"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":0.11559999734163284,"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":0.052400000393390656,"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/generative-grammar","display_name":"Generative grammar","score":0.5684000253677368},{"id":"https://openalex.org/keywords/complement","display_name":"Complement (music)","score":0.4754999876022339},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4625000059604645},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4453999996185303},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4034999907016754},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3276999890804291},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.3240000009536743}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7800999879837036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.626800000667572},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5684000253677368},{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.4754999876022339},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4625000059604645},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4453999996185303},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44040000438690186},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.42809998989105225},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4034999907016754},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3276999890804291},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3240000009536743},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.3098999857902527},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.30799999833106995},{"id":"https://openalex.org/C3073032","wikidata":"https://www.wikidata.org/wiki/Q15912075","display_name":"Information hiding","level":3,"score":0.2874000072479248},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.262800008058548},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.25999999046325684},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.25940001010894775}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3746252.3761248","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746252.3761248","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2510.09129","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2510.09129","pdf_url":"https://arxiv.org/pdf/2510.09129","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2510.09129","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2510.09129","pdf_url":"https://arxiv.org/pdf/2510.09129","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2002834872","https://openalex.org/W2038585576","https://openalex.org/W2054141820","https://openalex.org/W2475334473","https://openalex.org/W2605350416","https://openalex.org/W2807021761","https://openalex.org/W2945827670","https://openalex.org/W3012816161","https://openalex.org/W3045200674","https://openalex.org/W3094605801","https://openalex.org/W3117298090","https://openalex.org/W3155496675","https://openalex.org/W3156135334","https://openalex.org/W3156844209","https://openalex.org/W3169827396","https://openalex.org/W3207066264","https://openalex.org/W3208338073","https://openalex.org/W4220909642","https://openalex.org/W4221023051","https://openalex.org/W4221155633","https://openalex.org/W4225109328","https://openalex.org/W4225412853","https://openalex.org/W4288083766","https://openalex.org/W4289533827","https://openalex.org/W4310631727","https://openalex.org/W4315977496","https://openalex.org/W4321479942","https://openalex.org/W4382318032","https://openalex.org/W4384652641","https://openalex.org/W4387461044","https://openalex.org/W4399205950","https://openalex.org/W4401659354"],"related_works":[],"abstract_inverted_index":{"Recommendation":[0],"systems":[1],"have":[2],"become":[3],"indispensable":[4],"in":[5,17,75],"various":[6],"online":[7],"platforms,":[8],"from":[9,24],"e-commerce":[10],"to":[11,38,56,81,103,121,147,151,166],"streaming":[12],"services.":[13],"A":[14],"fundamental":[15],"challenge":[16],"this":[18,39,64],"domain":[19],"is":[20,145,175],"learning":[21,30,46,78,144],"effective":[22,154],"embeddings":[23],"sparse":[25],"user-item":[26],"interactions.":[27],"While":[28],"contrastive":[29,45,77,143],"has":[31],"recently":[32],"emerged":[33],"as":[34],"a":[35,68,94,134],"promising":[36],"solution":[37],"issue,":[40],"generating":[41],"augmented":[42,84],"views":[43,85],"for":[44,79,110],"through":[47],"most":[48],"existing":[49],"random":[50],"data":[51,109,111,140],"augmentation":[52,141],"methods":[53],"often":[54],"leads":[55],"the":[57,105,123,149,168,171],"alteration":[58],"of":[59,107,170],"original":[60,108],"semantic":[61],"information.":[62],"In":[63],"paper,":[65],"we":[66,92],"propose":[67],"novel":[69],"framework,":[70],"GDA4Rec":[71,114],"(Generative":[72],"Data":[73],"Augmentation":[74],"graph":[76],"Recommendation)":[80],"generate":[82],"high-quality":[83],"and":[86,128,142,155],"provide":[87,129],"robust":[88],"self-supervised":[89,131],"signals.":[90,132],"Specifically,":[91],"employ":[93],"noise":[95],"generation":[96],"module":[97],"that":[98,137],"leverages":[99],"deep":[100],"generative":[101],"models":[102],"approximate":[104],"distribution":[106],"augmentation.":[112],"Additionally,":[113],"further":[115],"extracts":[116],"an":[117],"item":[118],"complement":[119],"matrix":[120],"characterize":[122],"latent":[124],"correlations":[125],"between":[126],"items":[127],"additional":[130],"Lastly,":[133],"joint":[135],"objective":[136],"integrates":[138],"recommendation,":[139],"used":[146],"enforce":[148],"model":[150],"learn":[152],"more":[153],"informative":[156],"embeddings.":[157],"Extensive":[158],"experiments":[159],"are":[160],"conducted":[161],"on":[162],"three":[163],"public":[164],"datasets":[165],"demonstrate":[167],"superiority":[169],"model.":[172],"The":[173],"code":[174],"available":[176],"at:":[177],"https://github.com/MrYansong/GDA4Rec.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-14T00:00:00"}
