{"id":"https://openalex.org/W3155496675","doi":"https://doi.org/10.1145/3442381.3449844","title":"Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation","display_name":"Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation","publication_year":2021,"publication_date":"2021-04-19","ids":{"openalex":"https://openalex.org/W3155496675","doi":"https://doi.org/10.1145/3442381.3449844","mag":"3155496675"},"language":"en","primary_location":{"id":"doi:10.1145/3442381.3449844","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449844","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Web Conference 2021","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3442381.3449844","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084564297","display_name":"Junliang Yu","orcid":"https://orcid.org/0000-0003-3401-9829"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Junliang Yu","raw_affiliation_strings":["University of Queensland, Australia"],"affiliations":[{"raw_affiliation_string":"University of Queensland, Australia","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088492734","display_name":"Hongzhi Yin","orcid":"https://orcid.org/0000-0003-1395-261X"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hongzhi Yin","raw_affiliation_strings":["University of Queensland, Australia"],"affiliations":[{"raw_affiliation_string":"University of Queensland, Australia","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029588473","display_name":"Jundong Li","orcid":"https://orcid.org/0000-0002-1878-817X"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jundong Li","raw_affiliation_strings":["University of Virginia, USA"],"affiliations":[{"raw_affiliation_string":"University of Virginia, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065191560","display_name":"Qinyong Wang","orcid":"https://orcid.org/0000-0002-8913-2696"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Qinyong Wang","raw_affiliation_strings":["University of Queensland, Australia"],"affiliations":[{"raw_affiliation_string":"University of Queensland, Australia","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051219382","display_name":"Quoc Viet Hung Nguyen","orcid":"https://orcid.org/0000-0002-9687-1315"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Nguyen Quoc Viet Hung","raw_affiliation_strings":["Griffith University, Australia"],"affiliations":[{"raw_affiliation_string":"Griffith University, Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000755750","display_name":"Xiangliang Zhang","orcid":"https://orcid.org/0000-0002-3574-5665"},"institutions":[{"id":"https://openalex.org/I71920554","display_name":"King Abdullah University of Science and Technology","ror":"https://ror.org/01q3tbs38","country_code":"SA","type":"education","lineage":["https://openalex.org/I71920554"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Xiangliang Zhang","raw_affiliation_strings":["King Abdullah University of Science and Technology, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"King Abdullah University of Science and Technology, Saudi Arabia","institution_ids":["https://openalex.org/I71920554"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5084564297"],"corresponding_institution_ids":["https://openalex.org/I165143802"],"apc_list":null,"apc_paid":null,"fwci":95.2875,"has_fulltext":true,"cited_by_count":475,"citation_normalized_percentile":{"value":0.99986111,"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":"413","last_page":"424"},"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":0.9944999814033508,"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/T12488","display_name":"Mental Health via Writing","score":0.9577999711036682,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.8755749464035034},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8046365976333618},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.6513936519622803},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6073218584060669},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5591699481010437},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4783708155155182},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.476533979177475},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.4697442650794983},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.4503341317176819},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.45005205273628235},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39239731431007385},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37884455919265747},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3762134909629822},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.36998263001441956},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36444616317749023},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1527760624885559},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.1231013834476471},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09585162997245789}],"concepts":[{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.8755749464035034},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8046365976333618},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6513936519622803},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6073218584060669},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5591699481010437},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4783708155155182},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.476533979177475},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4697442650794983},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4503341317176819},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.45005205273628235},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39239731431007385},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37884455919265747},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3762134909629822},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36998263001441956},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36444616317749023},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1527760624885559},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.1231013834476471},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09585162997245789},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3442381.3449844","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449844","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Web Conference 2021","raw_type":"proceedings-article"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/405991","is_oa":true,"landing_page_url":"http://hdl.handle.net/10072/405991","pdf_url":"http://hdl.handle.net/10072/405991","source":{"id":"https://openalex.org/S4306402548","display_name":"Griffith Research Online (Griffith University, Queensland, Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11701301","host_organization_name":"Griffith University","host_organization_lineage":["https://openalex.org/I11701301"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference output"},{"id":"pmh:oai:repository.kaust.edu.sa:10754/669805","is_oa":true,"landing_page_url":"http://hdl.handle.net/10754/669805","pdf_url":null,"source":{"id":"https://openalex.org/S4306401596","display_name":"King Abdullah University of Science and Technology Repository (King Abdullah 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/I71920554","host_organization_name":"King Abdullah University of Science and Technology","host_organization_lineage":["https://openalex.org/I71920554"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":{"id":"doi:10.1145/3442381.3449844","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449844","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Web Conference 2021","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5087339601","display_name":null,"funder_award_id":"01019","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6985819492","display_name":"Comparison of Proteins Associated with Heat Shock and       Adaptation to NaC1.","funder_award_id":"9010198","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7378744750","display_name":null,"funder_award_id":"2006844","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7681281993","display_name":"Collaborative Research: Capillary Interfaces","funder_award_id":"0103954","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8101987188","display_name":"National Teachers Enhancement Network for Elementary Teachers","funder_award_id":"0101985","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1840106123","https://openalex.org/W1980127182","https://openalex.org/W1991055526","https://openalex.org/W2093219534","https://openalex.org/W2096563449","https://openalex.org/W2112008792","https://openalex.org/W2119825970","https://openalex.org/W2130354913","https://openalex.org/W2144487656","https://openalex.org/W2244405900","https://openalex.org/W2438985978","https://openalex.org/W2444485119","https://openalex.org/W2509678028","https://openalex.org/W2587290924","https://openalex.org/W2756072049","https://openalex.org/W2787879486","https://openalex.org/W2795104036","https://openalex.org/W2842511635","https://openalex.org/W2892880750","https://openalex.org/W2896367309","https://openalex.org/W2907492528","https://openalex.org/W2908404712","https://openalex.org/W2913696439","https://openalex.org/W2914050157","https://openalex.org/W2914721378","https://openalex.org/W2940644625","https://openalex.org/W2948012107","https://openalex.org/W2951217911","https://openalex.org/W2951431594","https://openalex.org/W2963782635","https://openalex.org/W2971600245","https://openalex.org/W2981952041","https://openalex.org/W2998431760","https://openalex.org/W3004249040","https://openalex.org/W3012816161","https://openalex.org/W3025937945","https://openalex.org/W3033661031","https://openalex.org/W3034853385","https://openalex.org/W3035666843","https://openalex.org/W3035748723","https://openalex.org/W3036446966","https://openalex.org/W3045200674","https://openalex.org/W3065542300","https://openalex.org/W3080374445","https://openalex.org/W3080566854","https://openalex.org/W3084515140","https://openalex.org/W3086745871","https://openalex.org/W3099152386","https://openalex.org/W3099602291","https://openalex.org/W3099939189","https://openalex.org/W3100260481","https://openalex.org/W3104326162","https://openalex.org/W3127813352","https://openalex.org/W4206255050","https://openalex.org/W4210257598"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4376608589","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312"],"abstract_inverted_index":{"Social":[0],"relations":[1,25,41],"are":[2,36,61],"often":[3],"used":[4],"to":[5,26,50,77,119,159],"improve":[6],"recommendation":[7,21,60,80,121],"quality":[8],"when":[9],"user-item":[10],"interaction":[11],"data":[12],"is":[13,209],"sparse":[14],"in":[15,89],"recommender":[16],"systems.":[17],"Most":[18],"existing":[19],"social":[20,59,79],"models":[22],"exploit":[23],"pairwise":[24],"mine":[27],"potential":[28],"user":[29,40,84,100,117],"preferences.":[30],"However,":[31,123],"real-life":[32],"interactions":[33],"among":[34],"users":[35],"very":[37],"complex":[38],"and":[39,70,187,194,200],"can":[42],"be":[43],"high-order.":[44],"Hypergraph":[45],"provides":[46],"a":[47,72,93,97],"natural":[48],"way":[49],"model":[51,181,208],"high-order":[52,83,99,137],"relations,":[53],"while":[54],"its":[55],"potentials":[56],"for":[57,142],"improving":[58],"under-explored.":[62],"In":[63],"this":[64,68],"paper,":[65],"we":[66,114,146],"fill":[67],"gap":[69],"propose":[71],"multi-channel":[73,198],"hypergraph":[74,94,104,156],"convolutional":[75,157],"network":[76,91,158],"enhance":[78],"by":[81],"leveraging":[82],"relations.":[85],"Technically,":[86],"each":[87],"channel":[88],"the":[90,108,124,130,143,152,155,161,176,179,183,188,192,197,201],"encodes":[92],"that":[95],"depicts":[96],"common":[98],"relation":[101],"pattern":[102],"via":[103,211],"convolution.":[105],"By":[106],"aggregating":[107,144],"embeddings":[109],"learned":[110],"through":[111],"multiple":[112,172],"channels,":[113],"obtain":[115],"comprehensive":[116],"representations":[118],"generate":[120],"results.":[122],"aggregation":[125],"operation":[126],"might":[127],"also":[128],"obscure":[129],"inherent":[131],"characteristics":[132],"of":[133,136,154,178,196,206],"different":[134],"types":[135],"connectivity":[138,162],"information.":[139],"To":[140],"compensate":[141],"loss,":[145],"innovatively":[147],"integrate":[148],"self-supervised":[149,202],"learning":[150],"into":[151],"training":[153],"regain":[160],"information":[163,167],"with":[164],"hierarchical":[165],"mutual":[166],"maximization.":[168],"Extensive":[169],"experiments":[170],"on":[171],"real-world":[173],"datasets":[174],"demonstrate":[175],"superiority":[177],"proposed":[180],"over":[182],"current":[184],"SOTA":[185],"methods,":[186],"ablation":[189],"study":[190],"verifies":[191],"effectiveness":[193],"rationale":[195],"setting":[199],"task.":[203],"The":[204],"implementation":[205],"our":[207],"available":[210],"https://github.com/Coder-Yu/RecQ.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":19},{"year":2025,"cited_by_count":121},{"year":2024,"cited_by_count":118},{"year":2023,"cited_by_count":143},{"year":2022,"cited_by_count":57},{"year":2021,"cited_by_count":17}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
