{"id":"https://openalex.org/W4212835176","doi":"https://doi.org/10.1145/3488560.3501396","title":"Graph Neural Networks for Recommender System","display_name":"Graph Neural Networks for Recommender System","publication_year":2022,"publication_date":"2022-02-11","ids":{"openalex":"https://openalex.org/W4212835176","doi":"https://doi.org/10.1145/3488560.3501396"},"language":"en","primary_location":{"id":"doi:10.1145/3488560.3501396","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3488560.3501396","pdf_url":null,"source":{"id":"https://openalex.org/S4363608885","display_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","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/A5078622343","display_name":"Chen Gao","orcid":"https://orcid.org/0000-0002-7561-5646"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chen Gao","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100389037","display_name":"Xiang Wang","orcid":"https://orcid.org/0000-0002-6148-6329"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Xiang Wang","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038668215","display_name":"Xiangnan He","orcid":"https://orcid.org/0000-0001-8472-7992"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangnan He","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100355277","display_name":"Yong Li","orcid":"https://orcid.org/0000-0001-5617-1659"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Li","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5078622343"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":37.0972,"has_fulltext":false,"cited_by_count":266,"citation_normalized_percentile":{"value":0.998427,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1623","last_page":"1625"},"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":0.9994000196456909,"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":0.9919000267982483,"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":0.8514832258224487},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8475008010864258},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5917854309082031},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.43017610907554626},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4264596700668335},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.41674262285232544},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4150458574295044},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.41041839122772217},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38625940680503845},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3841440677642822},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.30811607837677},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.07195362448692322}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8514832258224487},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8475008010864258},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5917854309082031},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.43017610907554626},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4264596700668335},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.41674262285232544},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4150458574295044},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.41041839122772217},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38625940680503845},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3841440677642822},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.30811607837677},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.07195362448692322},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3488560.3501396","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3488560.3501396","pdf_url":null,"source":{"id":"https://openalex.org/S4363608885","display_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2054141820","https://openalex.org/W2295739661","https://openalex.org/W2605350416","https://openalex.org/W2776622059","https://openalex.org/W2792839191","https://openalex.org/W2945827670","https://openalex.org/W2963146368","https://openalex.org/W2963323306","https://openalex.org/W2963653811","https://openalex.org/W2970323499","https://openalex.org/W3034471508","https://openalex.org/W3034681945","https://openalex.org/W3035287707","https://openalex.org/W3045200674","https://openalex.org/W3080292067","https://openalex.org/W3094605801","https://openalex.org/W3098087397","https://openalex.org/W3100278010","https://openalex.org/W3152663991","https://openalex.org/W3153325943","https://openalex.org/W3173955760","https://openalex.org/W3178835722","https://openalex.org/W4205902690"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W4246980185","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W4238861846","https://openalex.org/W3115442681","https://openalex.org/W4386112722","https://openalex.org/W2391000461"],"abstract_inverted_index":{"Recently,":[0],"graph":[1,80,101],"neural":[2,81],"network":[3,103],"(GNN)":[4],"has":[5],"become":[6],"the":[7,30,38,59,66,95,120],"new":[8],"state-of-the-art":[9],"approach":[10],"in":[11,37,91],"many":[12],"recommendation":[13,31,64,125],"problems,":[14],"with":[15,127,145],"its":[16],"strong":[17],"ability":[18],"to":[19,24,45,113],"handle":[20],"structured":[21],"data":[22],"and":[23,35,65,79,94,106,138,147],"explore":[25],"high-order":[26],"information.":[27],"However,":[28],"as":[29],"tasks":[32],"are":[33,89],"diverse":[34],"various":[36],"real":[39],"world,":[40],"it":[41],"is":[42],"quite":[43],"challenging":[44],"design":[46],"proper":[47],"GNN":[48],"methods":[49],"for":[50],"specific":[51],"problems.":[52],"In":[53],"this":[54,143],"tutorial,":[55],"we":[56,70,84,110,141],"focus":[57],"on":[58,119],"critical":[60,133],"challenges":[61,116],"of":[62,76,98,123],"GNN-based":[63,124],"potential":[67],"solutions.":[68],"Specifically,":[69],"start":[71],"from":[72,131],"an":[73],"extensive":[74],"background":[75],"recommender":[77,92],"systems":[78,93],"networks.":[82],"Then":[83],"fully":[85],"discuss":[86,111,148],"why":[87],"GNNs":[88],"required":[90],"four":[96,132],"parts":[97],"challenges,":[99],"including":[100],"construction,":[102],"design,":[104],"optimization,":[105],"computation":[107],"efficiency.":[108],"Then,":[109],"how":[112],"address":[114],"these":[115],"by":[117],"elaborating":[118],"recent":[121],"advances":[122],"models,":[126],"a":[128],"systematic":[129],"taxonomy":[130],"perspectives:":[134],"stages,":[135],"scenarios,":[136],"objectives,":[137],"applications.":[139],"Last,":[140],"finalize":[142],"tutorial":[144],"conclusions":[146],"important":[149],"future":[150],"directions.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":12},{"year":2025,"cited_by_count":88},{"year":2024,"cited_by_count":69},{"year":2023,"cited_by_count":76},{"year":2022,"cited_by_count":21}],"updated_date":"2026-03-29T08:15:47.926485","created_date":"2025-10-10T00:00:00"}