{"id":"https://openalex.org/W3042856524","doi":"https://doi.org/10.1109/tkde.2020.3008732","title":"A Graph Neural Network Framework for Social Recommendations","display_name":"A Graph Neural Network Framework for Social Recommendations","publication_year":2020,"publication_date":"2020-07-13","ids":{"openalex":"https://openalex.org/W3042856524","doi":"https://doi.org/10.1109/tkde.2020.3008732","mag":"3042856524"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2020.3008732","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2020.3008732","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-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/A5043696243","display_name":"Wenqi Fan","orcid":"https://orcid.org/0000-0002-4049-1233"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]},{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Wenqi Fan","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hong Kong","Department of Computer Science, City University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-4049-1233","affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101568942","display_name":"Yao Ma","orcid":"https://orcid.org/0000-0002-4985-8724"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]},{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Yao Ma","raw_affiliation_strings":["Michigan State University, East Lansing, MI, USA","Guilin University of Electronic Technology, Guilin, Guangxi, China"],"raw_orcid":"https://orcid.org/0000-0002-4985-8724","affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]},{"raw_affiliation_string":"Guilin University of Electronic Technology, Guilin, Guangxi, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100404176","display_name":"Qing Li","orcid":"https://orcid.org/0000-0003-3370-471X"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Qing Li","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0003-3370-471X","affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100356291","display_name":"Jianping Wang","orcid":"https://orcid.org/0000-0002-9318-1482"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jianping Wang","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-9318-1482","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029118616","display_name":"Guoyong Cai","orcid":"https://orcid.org/0000-0002-5705-1189"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]},{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Guoyong Cai","raw_affiliation_strings":["Michigan State University, East Lansing, MI, USA","Guilin University of Electronic Technology, Guilin, Guangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]},{"raw_affiliation_string":"Guilin University of Electronic Technology, Guilin, Guangxi, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040639891","display_name":"Jiliang Tang","orcid":"https://orcid.org/0000-0001-7125-3898"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]},{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Jiliang Tang","raw_affiliation_strings":["Michigan State University, East Lansing, MI, USA","Guilin University of Electronic Technology, Guilin, Guangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]},{"raw_affiliation_string":"Guilin University of Electronic Technology, Guilin, Guangxi, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101771060","display_name":"Dawei Yin","orcid":"https://orcid.org/0000-0002-0684-6205"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dawei Yin","raw_affiliation_strings":["Baidu inc., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5043696243"],"corresponding_institution_ids":["https://openalex.org/I14243506","https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":23.9471,"has_fulltext":false,"cited_by_count":220,"citation_normalized_percentile":{"value":0.9949135,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"34","issue":"5","first_page":"2033","last_page":"2047"},"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":0.9993000030517578,"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":0.996399998664856,"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":0.8121833801269531},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5240179300308228},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.47789299488067627},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37874314188957214},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36717724800109863}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8121833801269531},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5240179300308228},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.47789299488067627},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37874314188957214},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36717724800109863}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2020.3008732","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2020.3008732","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1436348175","display_name":null,"funder_award_id":"IIS-1845081","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G1738941280","display_name":null,"funder_award_id":"CNS-1815636","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G1955516648","display_name":null,"funder_award_id":"#2017JJD160017","funder_id":"https://openalex.org/F4320322768","funder_display_name":"Natural Science Foundation of Guangxi Province"},{"id":"https://openalex.org/G2585409731","display_name":null,"funder_award_id":"P0033718","funder_id":"https://openalex.org/F4320322598","funder_display_name":"Hong Kong Polytechnic University"},{"id":"https://openalex.org/G5954805396","display_name":null,"funder_award_id":"U1501254","funder_id":"https://openalex.org/F4320336213","funder_display_name":"National Natural Science Foundation of China-Guangdong Joint Fund"},{"id":"https://openalex.org/G6368603962","display_name":null,"funder_award_id":"#61763007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6665355256","display_name":null,"funder_award_id":"IIS-1928278","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7110045","display_name":null,"funder_award_id":"IIS-1714741","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7197384020","display_name":null,"funder_award_id":"IIS-1907704","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8783789473","display_name":null,"funder_award_id":"IIS-1715940","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"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322598","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98"},{"id":"https://openalex.org/F4320322768","display_name":"Natural Science Foundation of Guangxi Province","ror":null},{"id":"https://openalex.org/F4320336213","display_name":"National Natural Science Foundation of China-Guangdong Joint Fund","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W1662382123","https://openalex.org/W1966472199","https://openalex.org/W1994389483","https://openalex.org/W2039613841","https://openalex.org/W2042281163","https://openalex.org/W2048657872","https://openalex.org/W2054141820","https://openalex.org/W2095705004","https://openalex.org/W2101491865","https://openalex.org/W2119825970","https://openalex.org/W2120615054","https://openalex.org/W2130354913","https://openalex.org/W2135598826","https://openalex.org/W2137028279","https://openalex.org/W2142144955","https://openalex.org/W2144487656","https://openalex.org/W2157881433","https://openalex.org/W2159094788","https://openalex.org/W2160815625","https://openalex.org/W2166293769","https://openalex.org/W2341865734","https://openalex.org/W2343644403","https://openalex.org/W2470673105","https://openalex.org/W2509678028","https://openalex.org/W2515144511","https://openalex.org/W2533413719","https://openalex.org/W2558748708","https://openalex.org/W2566709528","https://openalex.org/W2604314403","https://openalex.org/W2604438604","https://openalex.org/W2605350416","https://openalex.org/W2619206542","https://openalex.org/W2624407581","https://openalex.org/W2750171493","https://openalex.org/W2788376297","https://openalex.org/W2799544270","https://openalex.org/W2807021761","https://openalex.org/W2832876791","https://openalex.org/W2914721378","https://openalex.org/W2945827670","https://openalex.org/W2951105272","https://openalex.org/W2962756421","https://openalex.org/W2963014179","https://openalex.org/W2963052338","https://openalex.org/W2963066159","https://openalex.org/W2964938963","https://openalex.org/W2972774416","https://openalex.org/W2979068607","https://openalex.org/W2979300990","https://openalex.org/W2982108874","https://openalex.org/W2996906638","https://openalex.org/W3014067266","https://openalex.org/W3100278010","https://openalex.org/W3100848837","https://openalex.org/W3101023724","https://openalex.org/W3102899483","https://openalex.org/W3175142666","https://openalex.org/W4251194840","https://openalex.org/W4301312111","https://openalex.org/W6637178625","https://openalex.org/W6637299502","https://openalex.org/W6674330103","https://openalex.org/W6677907805","https://openalex.org/W6680830989","https://openalex.org/W6720006811","https://openalex.org/W6737558694","https://openalex.org/W6738964360","https://openalex.org/W7070499600"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Data":[0,42],"in":[1,28,43,53,89,101,164,185],"many":[2],"real-world":[3,207],"applications":[4],"such":[5],"as":[6,18,50,72],"social":[7,44,58,82,92,107,131,154,201],"networks,":[8],"users":[9,96],"shopping":[10],"behaviors,":[11],"and":[12,39,60,105,126,170,183,189],"inter-item":[13],"relationships":[14,66],"can":[15,46,69],"be":[16,48,70],"represented":[17],"graphs.":[19,62,74],"Graph":[20],"Neural":[21],"Networks":[22],"(GNNs)":[23],"have":[24],"shown":[25],"great":[26],"success":[27],"learning":[29],"meaningful":[30],"representations":[31],"for":[32,153,179],"graphs":[33,59,113],"by":[34],"inherently":[35],"integrating":[36],"node":[37],"information":[38],"topological":[40],"structure.":[41],"recommendations":[45,93],"also":[47,120,190],"denotes":[49],"graph":[51,104,108,144,162,188],"data":[52,163],"the":[54,65,102,128,186,197,210,213],"form":[55],"of":[56,130,200,212],"user-user":[57,106],"user-item":[61,103,112,117,187],"In":[63,137],"addition,":[64],"between":[67],"items":[68],"denoted":[71],"item-item":[73],"GNNs":[75],"provide":[76],"an":[77,192],"unprecedented":[78],"opportunity":[79],"to":[80,159,166,195],"advance":[81],"recommendations.":[83],"However,":[84],"there":[85],"are":[86,98,133],"tremendous":[87],"challenges":[88],"building":[90],"GNNs-based":[91],"where":[94],"(1)":[95],"(items)":[97],"simultaneously":[99],"involved":[100],"(item-item":[109],"graph);":[110],"(2)":[111],"not":[114],"only":[115],"contain":[116],"interactions":[118,182],"but":[119],"include":[121],"users\u2019":[122],"opinions":[123,184],"on":[124,205],"items;":[125],"(3)":[127],"nature":[129],"relations":[132],"heterogeneous":[134,198],"among":[135],"users.":[136],"this":[138],"paper,":[139],"we":[140,174],"propose":[141,191],"a":[142,176],"novel":[143],"neural":[145],"network":[146],"framework":[147],"(":[148],"<bold":[149],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[150],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">GraphRec+</b>":[151],")":[152],"recommendations,":[155],"which":[156],"is":[157],"able":[158],"coherently":[160],"model":[161],"order":[165],"learn":[167],"better":[168],"user":[169],"item":[171],"representations.":[172],"Specifically,":[173],"introduce":[175],"principled":[177],"approach":[178],"jointly":[180],"capturing":[181],"attention":[193],"mechanism":[194],"differentiate":[196],"strengths":[199],"relations.":[202],"Comprehensive":[203],"experiments":[204],"three":[206],"datasets":[208],"show":[209],"effectiveness":[211],"proposed":[214],"framework.":[215]},"counts_by_year":[{"year":2026,"cited_by_count":14},{"year":2025,"cited_by_count":66},{"year":2024,"cited_by_count":54},{"year":2023,"cited_by_count":52},{"year":2022,"cited_by_count":24},{"year":2021,"cited_by_count":10}],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2025-10-10T00:00:00"}