{"id":"https://openalex.org/W2914050157","doi":"https://doi.org/10.1145/3308558.3313442","title":"Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems","display_name":"Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems","publication_year":2019,"publication_date":"2019-05-13","ids":{"openalex":"https://openalex.org/W2914050157","doi":"https://doi.org/10.1145/3308558.3313442","mag":"2914050157"},"language":"en","primary_location":{"id":"doi:10.1145/3308558.3313442","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308558.3313442","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":"The World Wide Web Conference","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3308558.3313442","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Qitian Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qitian Wu","raw_affiliation_strings":["Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hengrui Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengrui Zhang","raw_affiliation_strings":["Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiaofeng Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng Gao","raw_affiliation_strings":["Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Peng He","orcid":null},"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":"Peng He","raw_affiliation_strings":["Tencent, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Paul Weng","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Paul Weng","raw_affiliation_strings":["Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Han Gao","orcid":null},"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":"Han Gao","raw_affiliation_strings":["Tencent, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":null,"display_name":"Guihai Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guihai Chen","raw_affiliation_strings":["Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":269,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2091","last_page":"2102"},"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9761999845504761,"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/collaborative-filtering","display_name":"Collaborative filtering","score":0.6608999967575073},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6534000039100647},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5773000121116638},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5454000234603882},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.536300003528595},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.45730000734329224},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.4458000063896179},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4336000084877014}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7980999946594238},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.6608999967575073},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6534000039100647},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5773000121116638},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5454000234603882},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.536300003528595},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5102999806404114},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46790000796318054},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.45730000734329224},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.4458000063896179},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4336000084877014},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.42010000348091125},{"id":"https://openalex.org/C131158328","wikidata":"https://www.wikidata.org/wiki/Q1307337","display_name":"Social influence","level":2,"score":0.3921999931335449},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.31619998812675476},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.31189998984336853},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2903999984264374},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.28209999203681946},{"id":"https://openalex.org/C2777522414","wikidata":"https://www.wikidata.org/wiki/Q648457","display_name":"Social graph","level":3,"score":0.27559998631477356},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.27489998936653137},{"id":"https://openalex.org/C130064352","wikidata":"https://www.wikidata.org/wiki/Q853725","display_name":"Social relation","level":2,"score":0.2745000123977661},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.2572999894618988},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.2556000053882599},{"id":"https://openalex.org/C180872759","wikidata":"https://www.wikidata.org/wiki/Q874405","display_name":"Social group","level":2,"score":0.2524999976158142}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3308558.3313442","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308558.3313442","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":"The World Wide Web Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1903.10433","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1903.10433","pdf_url":"https://arxiv.org/pdf/1903.10433","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"}],"best_oa_location":{"id":"doi:10.1145/3308558.3313442","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308558.3313442","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":"The World Wide Web Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1508947471","https://openalex.org/W1601015633","https://openalex.org/W1886704267","https://openalex.org/W1994389483","https://openalex.org/W2032342806","https://openalex.org/W2039613841","https://openalex.org/W2042281163","https://openalex.org/W2073926352","https://openalex.org/W2084527756","https://openalex.org/W2087692915","https://openalex.org/W2093219534","https://openalex.org/W2119717200","https://openalex.org/W2119825970","https://openalex.org/W2130354913","https://openalex.org/W2133266261","https://openalex.org/W2133299088","https://openalex.org/W2135598826","https://openalex.org/W2144487656","https://openalex.org/W2155048531","https://openalex.org/W2184705978","https://openalex.org/W2605350416","https://openalex.org/W2723293840","https://openalex.org/W2772157149","https://openalex.org/W2788284887","https://openalex.org/W2793717893","https://openalex.org/W2798557793","https://openalex.org/W2807021761","https://openalex.org/W2807873315","https://openalex.org/W2808482351","https://openalex.org/W2809583854","https://openalex.org/W2896140001","https://openalex.org/W2950929549","https://openalex.org/W4301312111","https://openalex.org/W6688546294","https://openalex.org/W6720006811","https://openalex.org/W6739901393","https://openalex.org/W6748406900","https://openalex.org/W6751388411","https://openalex.org/W6768747216"],"related_works":[],"abstract_inverted_index":{"Social":[0],"recommendation":[1,180,187],"leverages":[2],"social":[3,23,60,87,115,149,186],"information":[4,97],"to":[5,54,92,104,144],"solve":[6],"data":[7,108],"sparsity":[8,109],"and":[9,30,71,79,125,156],"cold-start":[10],"problems":[11],"in":[12,45,89,117,167],"traditional":[13],"collaborative":[14],"filtering":[15],"methods.":[16,188],"However,":[17],"most":[18],"existing":[19],"models":[20],"assume":[21],"that":[22,96,113,173],"effects":[24,88,116],"from":[25,98],"friend":[26],"users":[27],"are":[28],"static":[29],"under":[31],"the":[32,72,86,107,161,164],"forms":[33],"of":[34,147,163],"constant":[35],"weights":[36],"or":[37],"fixed":[38],"constraints.":[39],"To":[40],"relax":[41],"this":[42,46],"strong":[43],"assumption,":[44],"paper,":[47],"we":[48,132],"propose":[49,133],"dual":[50],"graph":[51],"attention":[52,69,81],"networks":[53],"collaboratively":[55],"learn":[56],"representations":[57],"for":[58,130,179],"two-fold":[59],"effects,":[61],"where":[62],"one":[63,153],"is":[64,74],"modeled":[65,75],"by":[66,76],"a":[67,77,134,157],"user-specific":[68],"weight":[70],"other":[73,124,184],"dynamic":[78],"context-aware":[80],"weight.":[82],"We":[83],"also":[84],"extend":[85],"user":[90],"domain":[91],"item":[93],"domain,":[94],"so":[95],"related":[99],"items":[100],"can":[101],"be":[102],"leveraged":[103],"further":[105],"alleviate":[106],"problem.":[110],"Furthermore,":[111],"considering":[112],"different":[114],"two":[118],"domains":[119],"could":[120],"interact":[121],"with":[122,183],"each":[123],"jointly":[126],"influence":[127],"users'":[128],"preferences":[129],"items,":[131],"new":[135],"policy-based":[136],"fusion":[137],"strategy":[138],"based":[139],"on":[140,152],"contextual":[141],"multi-armed":[142],"bandit":[143],"weigh":[145],"interactions":[146],"various":[148],"effects.":[150],"Experiments":[151],"benchmark":[154],"dataset":[155,159],"commercial":[158],"verify":[160],"efficacy":[162],"key":[165],"components":[166],"our":[168,174],"model.":[169],"The":[170],"results":[171],"show":[172],"model":[175],"achieves":[176],"great":[177],"improvement":[178],"accuracy":[181],"compared":[182],"state-of-the-art":[185]},"counts_by_year":[{"year":2026,"cited_by_count":13},{"year":2025,"cited_by_count":32},{"year":2024,"cited_by_count":46},{"year":2023,"cited_by_count":58},{"year":2022,"cited_by_count":60},{"year":2021,"cited_by_count":43},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2019-02-21T00:00:00"}
