{"id":"https://openalex.org/W3035298482","doi":"https://doi.org/10.1145/3397271.3401165","title":"GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection","display_name":"GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection","publication_year":2020,"publication_date":"2020-07-25","ids":{"openalex":"https://openalex.org/W3035298482","doi":"https://doi.org/10.1145/3397271.3401165","mag":"3035298482"},"language":"en","primary_location":{"id":"doi:10.1145/3397271.3401165","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3397271.3401165","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","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/A5076549491","display_name":"Shijie Zhang","orcid":"https://orcid.org/0000-0003-3226-6842"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"The 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":"Shijie Zhang","raw_affiliation_strings":["University of Queensland, Brisbane, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Queensland, Brisbane, 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":"The 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, Brisbane, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Queensland, Brisbane, Australia","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100461265","display_name":"Tong Chen","orcid":"https://orcid.org/0000-0001-7269-146X"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"The 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":"Tong Chen","raw_affiliation_strings":["University of Queensland, Brisbane, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Queensland, Brisbane, Australia","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Quoc Viet Nguyen Hung","orcid":null},"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":"Quoc Viet Nguyen Hung","raw_affiliation_strings":["Griffith University, Gold Coast, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Griffith University, Gold Coast, Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078170935","display_name":"Zi Huang","orcid":"https://orcid.org/0000-0002-9738-4949"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"The 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":"Zi Huang","raw_affiliation_strings":["University of Queensland, Brisbane, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Queensland, Brisbane, Australia","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101414718","display_name":"Lizhen Cui","orcid":"https://orcid.org/0000-0002-8262-8883"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhen Cui","raw_affiliation_strings":["Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":159,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"689","last_page":"698"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9995999932289124,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9973999857902527,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.894298791885376},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7612765431404114},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5318973064422607},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5158254504203796},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5012838840484619},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48431316018104553},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.47960031032562256},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44134050607681274},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4296633005142212},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4255882203578949},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4194396436214447}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.894298791885376},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7612765431404114},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5318973064422607},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5158254504203796},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5012838840484619},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48431316018104553},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.47960031032562256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44134050607681274},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4296633005142212},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4255882203578949},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4194396436214447},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3397271.3401165","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3397271.3401165","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/399265","is_oa":false,"landing_page_url":"http://hdl.handle.net/10072/399265","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference output"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W107297539","https://openalex.org/W893486657","https://openalex.org/W1412447802","https://openalex.org/W1597703625","https://openalex.org/W1720514416","https://openalex.org/W1977290284","https://openalex.org/W2016266039","https://openalex.org/W2033500845","https://openalex.org/W2040762770","https://openalex.org/W2042281163","https://openalex.org/W2064058256","https://openalex.org/W2070375326","https://openalex.org/W2089554624","https://openalex.org/W2101396617","https://openalex.org/W2112213600","https://openalex.org/W2133699849","https://openalex.org/W2136710010","https://openalex.org/W2136891251","https://openalex.org/W2137245235","https://openalex.org/W2165949563","https://openalex.org/W2212259974","https://openalex.org/W2220384803","https://openalex.org/W2241509133","https://openalex.org/W2241850672","https://openalex.org/W2250299341","https://openalex.org/W2252625695","https://openalex.org/W2253995343","https://openalex.org/W2286850974","https://openalex.org/W2417902114","https://openalex.org/W2468907370","https://openalex.org/W2534727297","https://openalex.org/W2604433096","https://openalex.org/W2604662567","https://openalex.org/W2605350416","https://openalex.org/W2783466287","https://openalex.org/W2799117791","https://openalex.org/W2807021761","https://openalex.org/W2891096675","https://openalex.org/W2914721378","https://openalex.org/W2962986764","https://openalex.org/W3045200674","https://openalex.org/W3100848837","https://openalex.org/W4249267926"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W4390273403","https://openalex.org/W1976205134","https://openalex.org/W4386781444","https://openalex.org/W2381570729","https://openalex.org/W4248336175","https://openalex.org/W3092950680","https://openalex.org/W4246980185","https://openalex.org/W2150182025"],"abstract_inverted_index":{"In":[0,102,126],"recent":[1],"years,":[2],"recommender":[3,20,46,86,233],"system":[4,21,47,87],"has":[5],"become":[6],"an":[7,41,170],"indispensable":[8],"function":[9],"in":[10,40,96,122,141,155,164,173,202],"all":[11],"e-commerce":[12],"platforms.":[13],"The":[14,51],"review":[15],"rating":[16,153,208],"data":[17,62,68,154],"for":[18],"a":[19,30,84,109,123,134,139],"typically":[22],"comes":[23],"from":[24],"open":[25],"platforms,":[26],"which":[27],"may":[28,56],"attract":[29],"group":[31],"of":[32,53,78,99,133,150,199,227],"malicious":[33],"users":[34],"to":[35,43,48,82,91,115,219,223],"deliberately":[36],"insert":[37],"fake":[38],"feedback":[39],"attempt":[42],"bias":[44],"the":[45,97,131,142,148,156,160,165,174,193,197,203,214,224,231],"their":[49],"favour.":[50],"presence":[52,98],"such":[54],"attacks":[55,229],"violate":[57],"modeling":[58],"assumptions":[59],"that":[60,88],"high-quality":[61],"is":[63,77,89,217],"always":[64],"available":[65],"and":[66,73,119,192,210],"these":[67,179],"truly":[69],"reflect":[70],"users'":[71],"interests":[72],"preferences.":[74],"Therefore,":[75],"it":[76],"great":[79],"practical":[80],"significance":[81],"construct":[83],"robust":[85,117,207,222],"able":[90],"generate":[92],"stable":[93],"recommendations":[94],"even":[95],"shilling":[100,228],"attacks.":[101],"this":[103,151],"paper,":[104],"we":[105],"propose":[106],"GraphRfi":[107,201,216],"-":[108,206],"GCN-based":[110],"user":[111,135],"representation":[112],"learning":[113,129],"framework":[114],"perform":[116],"recommendation":[118,157,166],"fraudster":[120,140,143,175,211],"detection":[121,144,176],"unified":[124],"way.":[125],"its":[127],"end-to-end":[128],"process,":[130],"probability":[132],"being":[136],"identified":[137],"as":[138,169],"component":[145,167],"automatically":[146],"determines":[147],"contribution":[149],"user's":[152],"component;":[158],"while":[159],"prediction":[161,209],"error":[162],"outputted":[163],"acts":[168],"important":[171],"feature":[172],"component.":[177],"Thus,":[178],"two":[180,204],"components":[181],"can":[182],"mutually":[183],"enhance":[184],"each":[185],"other.":[186],"Extensive":[187],"experiments":[188],"have":[189],"been":[190],"conducted":[191],"experimental":[194],"results":[195],"show":[196],"superiority":[198],"our":[200],"tasks":[205],"detection.":[212],"Furthermore,":[213],"proposed":[215],"validated":[218],"be":[220],"more":[221],"various":[225],"types":[226],"over":[230],"state-of-the-art":[232],"systems.":[234]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":27},{"year":2024,"cited_by_count":30},{"year":2023,"cited_by_count":36},{"year":2022,"cited_by_count":27},{"year":2021,"cited_by_count":26},{"year":2020,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
