{"id":"https://openalex.org/W2966750432","doi":"https://doi.org/10.24963/ijcai.2019/592","title":"STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems","display_name":"STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems","publication_year":2019,"publication_date":"2019-07-28","ids":{"openalex":"https://openalex.org/W2966750432","doi":"https://doi.org/10.24963/ijcai.2019/592","mag":"2966750432"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2019/592","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/592","pdf_url":"https://www.ijcai.org/proceedings/2019/0592.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2019/0592.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110712709","display_name":"Jiani Zhang","orcid":"https://orcid.org/0009-0008-3810-2391"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Jiani Zhang","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091515481","display_name":"Xingjian Shi","orcid":"https://orcid.org/0000-0002-2700-7742"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xingjian Shi","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102017036","display_name":"Shenglin Zhao","orcid":"https://orcid.org/0000-0003-1067-4861"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shenglin Zhao","raw_affiliation_strings":["Youtu Lab, Tencent, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Youtu Lab, Tencent, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042251906","display_name":"Irwin King","orcid":"https://orcid.org/0000-0001-8106-6447"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Irwin King","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5110712709"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":38.0022,"has_fulltext":false,"cited_by_count":239,"citation_normalized_percentile":{"value":0.99744081,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"4264","last_page":"4270"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9997000098228455,"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":0.9936000108718872,"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":0.8378092050552368},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5723467469215393},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5369572043418884},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4648045301437378},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.44005799293518066},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.41751939058303833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3867442309856415},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3763350248336792},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.30807316303253174}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8378092050552368},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5723467469215393},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5369572043418884},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4648045301437378},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.44005799293518066},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.41751939058303833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3867442309856415},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3763350248336792},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30807316303253174},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.24963/ijcai.2019/592","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/592","pdf_url":"https://www.ijcai.org/proceedings/2019/0592.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-100998","is_oa":false,"landing_page_url":"http://repository.ust.hk/ir/Record/1783.1-100998","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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":"Conference paper"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2019/592","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/592","pdf_url":"https://www.ijcai.org/proceedings/2019/0592.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322942","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2966750432.pdf","grobid_xml":"https://content.openalex.org/works/W2966750432.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2054141820","https://openalex.org/W2157881433","https://openalex.org/W2177562712","https://openalex.org/W2186878252","https://openalex.org/W2250539671","https://openalex.org/W2409498980","https://openalex.org/W2558748708","https://openalex.org/W2567312369","https://openalex.org/W2604314403","https://openalex.org/W2610153490","https://openalex.org/W2611328865","https://openalex.org/W2618114732","https://openalex.org/W2624407581","https://openalex.org/W2753686090","https://openalex.org/W2793523712","https://openalex.org/W2812757605","https://openalex.org/W2888135434","https://openalex.org/W2891734693","https://openalex.org/W2896457183","https://openalex.org/W2963241951","https://openalex.org/W2964015378","https://openalex.org/W2964321699","https://openalex.org/W4294558607","https://openalex.org/W4297733535","https://openalex.org/W4322614756"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W4288390103","https://openalex.org/W4317039510","https://openalex.org/W4238861846"],"abstract_inverted_index":{"We":[0],"propose":[1,115],"a":[2,31,102,116],"new":[3,84],"STAcked":[4],"and":[5,63,114,143],"Reconstructed":[6],"Graph":[7],"Convolutional":[8],"Networks":[9],"(STAR-GCN)":[10],"architecture":[11],"to":[12,40,70,119],"learn":[13],"node":[14,56,81,90],"representations":[15],"for":[16,83,110],"boosting":[17],"the":[18,25,42,47,68,72,95,121,150],"performance":[19,135],"in":[20,24,136,146,149,159],"recommender":[21],"systems,":[22],"especially":[23],"cold":[26,96,151],"start":[27,97,152],"scenario.":[28,153],"STAR-GCN":[29,59,78],"employs":[30],"stack":[32],"of":[33,139],"GCN":[34],"encoder-decoders":[35],"combined":[36],"with":[37,53],"intermediate":[38],"supervision":[39],"improve":[41],"final":[43],"prediction":[44,112,128],"performance.":[45],"Unlike":[46],"graph":[48],"convolutional":[49],"matrix":[50],"completion":[51],"model":[52,73,132],"one-hot":[54],"encoding":[55],"inputs,":[57],"our":[58,77,131],"learns":[60],"low-dimensional":[61],"user":[62],"item":[64],"latent":[65],"factors":[66],"as":[67],"input":[69,89],"restrain":[71],"space":[74],"complexity.":[75],"Moreover,":[76],"can":[79],"produce":[80],"embeddings":[82],"nodes":[85],"by":[86],"reconstructing":[87],"masked":[88],"embeddings,":[91],"which":[92],"essentially":[93],"tackles":[94],"problem.":[98],"Furthermore,":[99],"we":[100],"discover":[101],"label":[103],"leakage":[104],"issue":[105],"when":[106],"training":[107,117],"GCN-based":[108],"models":[109],"link":[111],"tasks":[113],"strategy":[118],"avoid":[120],"issue.":[122],"Empirical":[123],"results":[124],"on":[125],"multiple":[126],"rating":[127],"benchmarks":[129],"demonstrate":[130],"achieves":[133],"state-of-the-art":[134],"four":[137],"out":[138],"five":[140],"real-world":[141],"datasets":[142],"significant":[144],"improvements":[145],"predicting":[147],"ratings":[148],"The":[154],"code":[155],"implementation":[156],"is":[157],"available":[158],"https://github.com/jennyzhang0215/STAR-GCN.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":30},{"year":2024,"cited_by_count":51},{"year":2023,"cited_by_count":47},{"year":2022,"cited_by_count":51},{"year":2021,"cited_by_count":35},{"year":2020,"cited_by_count":20},{"year":2019,"cited_by_count":2}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-10-10T00:00:00"}