{"id":"https://openalex.org/W4381730519","doi":"https://doi.org/10.1111/exsy.13385","title":"Graph attentive matrix factorization for social recommendation","display_name":"Graph attentive matrix factorization for social recommendation","publication_year":2023,"publication_date":"2023-06-21","ids":{"openalex":"https://openalex.org/W4381730519","doi":"https://doi.org/10.1111/exsy.13385"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1111/exsy.13385","pdf_url":null,"source":{"id":"https://openalex.org/S72232612","display_name":"Expert Systems","issn_l":"0266-4720","issn":["0266-4720","1468-0394"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5100769224","display_name":"Xue Zhang","orcid":"https://orcid.org/0009-0001-6995-9733"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xue Zhang","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","School of Innovation and Entrepreneurship, Henan Open University, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Innovation and Entrepreneurship, Henan Open University, Zhengzhou, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005167596","display_name":"Bin Wu","orcid":"https://orcid.org/0000-0002-4722-4226"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Wu","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045940041","display_name":"Yangdong Ye","orcid":"https://orcid.org/0000-0001-7027-8313"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangdong Ye","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100769224"],"corresponding_institution_ids":["https://openalex.org/I38877650"],"apc_list":{"value":3860,"currency":"USD","value_usd":3860,"provenance":"doaj"},"apc_paid":null,"fwci":0.91,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.745318,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":67,"max":78},"biblio":{"volume":"40","issue":"9","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9999,"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":0.9999,"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":0.9943,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9337,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cold-start","display_name":"Cold start (automotive)","score":0.5535842},{"id":"https://openalex.org/keywords/social-graph","display_name":"Social graph","score":0.5024681}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8891274},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6402893},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6176687},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.59274304},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5593326},{"id":"https://openalex.org/C2778956030","wikidata":"https://www.wikidata.org/wiki/Q5142477","display_name":"Cold start (automotive)","level":2,"score":0.5535842},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5314141},{"id":"https://openalex.org/C2777522414","wikidata":"https://www.wikidata.org/wiki/Q648457","display_name":"Social graph","level":3,"score":0.5024681},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4816593},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.47510207},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44215682},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.31348875},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.14609116},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1261811},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1111/exsy.13385","pdf_url":null,"source":{"id":"https://openalex.org/S72232612","display_name":"Expert Systems","issn_l":"0266-4720","issn":["0266-4720","1468-0394"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.58,"display_name":"Reduced inequalities"}],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"62102369"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"62176239"}],"datasets":[],"versions":[],"referenced_works_count":66,"referenced_works":["https://openalex.org/W1976999215","https://openalex.org/W1991055526","https://openalex.org/W1994389483","https://openalex.org/W2026844232","https://openalex.org/W2054141820","https://openalex.org/W2056609785","https://openalex.org/W2093219534","https://openalex.org/W2101409192","https://openalex.org/W2119825970","https://openalex.org/W2135598826","https://openalex.org/W2137245235","https://openalex.org/W2140310134","https://openalex.org/W2144487656","https://openalex.org/W2158515176","https://openalex.org/W2336920772","https://openalex.org/W2340502990","https://openalex.org/W2343271409","https://openalex.org/W2509678028","https://openalex.org/W2590822257","https://openalex.org/W2592438485","https://openalex.org/W2605350416","https://openalex.org/W2614794251","https://openalex.org/W2807955117","https://openalex.org/W2896367309","https://openalex.org/W2897610297","https://openalex.org/W2907827821","https://openalex.org/W2911286998","https://openalex.org/W2940740645","https://openalex.org/W2949340817","https://openalex.org/W2954123367","https://openalex.org/W2962712142","https://openalex.org/W2962992837","https://openalex.org/W2963085847","https://openalex.org/W2963146368","https://openalex.org/W2963521811","https://openalex.org/W2964015378","https://openalex.org/W2964605519","https://openalex.org/W2979057167","https://openalex.org/W2979068607","https://openalex.org/W2980733333","https://openalex.org/W2980778868","https://openalex.org/W2982108874","https://openalex.org/W2996863522","https://openalex.org/W2999649805","https://openalex.org/W3021893476","https://openalex.org/W3038643040","https://openalex.org/W3093002391","https://openalex.org/W3100278010","https://openalex.org/W3104326162","https://openalex.org/W3106439716","https://openalex.org/W3124675547","https://openalex.org/W3153325943","https://openalex.org/W3157314313","https://openalex.org/W3217215940","https://openalex.org/W4206318305","https://openalex.org/W4206370688","https://openalex.org/W4213217984","https://openalex.org/W4214558423","https://openalex.org/W4224078239","https://openalex.org/W4224230118","https://openalex.org/W4224942098","https://openalex.org/W4244707235","https://openalex.org/W4293879989","https://openalex.org/W4301312111","https://openalex.org/W4319302606","https://openalex.org/W4321380694"],"related_works":["https://openalex.org/W584290403","https://openalex.org/W4241927574","https://openalex.org/W3214288750","https://openalex.org/W3095646726","https://openalex.org/W2971083348","https://openalex.org/W2963185427","https://openalex.org/W2786642545","https://openalex.org/W2735929803","https://openalex.org/W2497939785","https://openalex.org/W2219931199"],"abstract_inverted_index":{"Abstract":[0],"Recommender":[1],"systems":[2],"commonly":[3],"encounter":[4],"with":[5,19],"the":[6,20,45,55,65,71,94,154,163],"problems":[7],"of":[8,23,47,57,73,77,93,156],"data":[9],"sparsity":[10],"and":[11,88],"cold":[12,164],"start.":[13],"Recently,":[14],"social":[15,24,51,116],"recommendation":[16],"has":[17],"emerged":[18],"rapid":[21],"expansion":[22],"platforms,":[25],"offering":[26],"an":[27,121,135],"opportunity":[28],"to":[29,124,139],"alleviate":[30],"such":[31],"two":[32,38],"obstacles.":[33],"Nevertheless,":[34],"there":[35],"are":[36],"still":[37],"key":[39],"limitations":[40],"in":[41,143],"existing":[42],"studies.":[43],"From":[44,70],"perspective":[46,72],"model":[48,74,141],"design,":[49],"previous":[50],"recommenders":[52],"only":[53,112],"consider":[54],"influence":[56],"a":[58,80,99,144],"user's":[59],"direct":[60],"friends":[61],"or":[62],"uniformly":[63],"treat":[64],"influences":[66,129],"from":[67],"different":[68,128],"friends.":[69,131],"learning,":[75],"most":[76],"them":[78],"apply":[79],"sampling\u2010based":[81],"optimization":[82,137],"strategy,":[83],"which":[84],"requires":[85],"high\u2010quality":[86],"positive":[87],"negative":[89],"samples.":[90],"In":[91],"light":[92],"aforementioned":[95],"limitations,":[96],"we":[97,133],"propose":[98],"new":[100],"probabilistic":[101],"method,":[102],"named":[103],"Graph":[104],"Attentive":[105],"Matrix":[106],"Factorization":[107],"(GAMF).":[108],"Our":[109],"method":[110],"not":[111],"explicitly":[113],"captures":[114],"high\u2010order":[115],"relationships,":[117],"but":[118],"also":[119],"adopts":[120],"attention":[122],"mechanism":[123],"automatically":[125],"pick":[126],"up":[127],"between":[130],"Moreover,":[132],"develop":[134],"efficient":[136],"algorithm":[138],"learn":[140],"parameters":[142],"non\u2010sampling":[145],"manner.":[146],"Extensive":[147],"experiments":[148],"on":[149],"four":[150],"large\u2010scale":[151],"datasets":[152],"show":[153],"superiority":[155],"GAMF":[157],"over":[158],"state\u2010of\u2010the\u2010art":[159],"recommenders,":[160],"especially":[161],"under":[162],"start":[165],"scenario.":[166]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4381730519","counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-01-12T09:32:29.159450","created_date":"2023-06-24"}