{"id":"https://openalex.org/W4376851389","doi":"https://doi.org/10.1109/tcss.2023.3268683","title":"Adversarial Heterogeneous Graph Neural Network for Robust Recommendation","display_name":"Adversarial Heterogeneous Graph Neural Network for Robust Recommendation","publication_year":2023,"publication_date":"2023-05-16","ids":{"openalex":"https://openalex.org/W4376851389","doi":"https://doi.org/10.1109/tcss.2023.3268683"},"language":"en","primary_location":{"id":"doi:10.1109/tcss.2023.3268683","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2023.3268683","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Computational Social Systems","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/A5075644772","display_name":"Lei Sang","orcid":"https://orcid.org/0009-0007-1480-6522"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Sang","raw_affiliation_strings":["School of Computer Science and Technology, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100413849","display_name":"Min Xu","orcid":"https://orcid.org/0000-0001-9581-8849"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Min Xu","raw_affiliation_strings":["Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073601707","display_name":"Shengsheng Qian","orcid":"https://orcid.org/0000-0001-9488-2208"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengsheng Qian","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080738591","display_name":"Xindong Wu","orcid":"https://orcid.org/0000-0003-2396-1704"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xindong Wu","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data (the Ministry of Education of China), Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data (the Ministry of Education of China), Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5075644772"],"corresponding_institution_ids":["https://openalex.org/I143868143"],"apc_list":null,"apc_paid":null,"fwci":10.0667,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.98119837,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"10","issue":"5","first_page":"2660","last_page":"2671"},"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":0.9991000294685364,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9753000140190125,"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":0.7870666980743408},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7625161409378052},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6169134974479675},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.529655396938324},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5292258262634277},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4806765019893646},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4529591202735901},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44326645135879517},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43399718403816223},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3330702781677246}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7870666980743408},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7625161409378052},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6169134974479675},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.529655396938324},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5292258262634277},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4806765019893646},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4529591202735901},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44326645135879517},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43399718403816223},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3330702781677246},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcss.2023.3268683","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2023.3268683","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Computational Social Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1779138117","display_name":null,"funder_award_id":"62206002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G422071286","display_name":null,"funder_award_id":"2208085QF199","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"},{"id":"https://openalex.org/G6122078429","display_name":null,"funder_award_id":"LP210100129","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G8150177081","display_name":null,"funder_award_id":"2208085QF195","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"},{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W1945616565","https://openalex.org/W1994389483","https://openalex.org/W2020120010","https://openalex.org/W2047729491","https://openalex.org/W2098121414","https://openalex.org/W2140310134","https://openalex.org/W2509893387","https://openalex.org/W2766988981","https://openalex.org/W2794844907","https://openalex.org/W2798868970","https://openalex.org/W2807021761","https://openalex.org/W2890884621","https://openalex.org/W2892160417","https://openalex.org/W2908274699","https://openalex.org/W2916446912","https://openalex.org/W2945827670","https://openalex.org/W2949274928","https://openalex.org/W2962907114","https://openalex.org/W2963707260","https://openalex.org/W2963869731","https://openalex.org/W2964159205","https://openalex.org/W2965857891","https://openalex.org/W2966149470","https://openalex.org/W2982108874","https://openalex.org/W2994506732","https://openalex.org/W2997574527","https://openalex.org/W3035298482","https://openalex.org/W3042006680","https://openalex.org/W3042321348","https://openalex.org/W3045200674","https://openalex.org/W3075585526","https://openalex.org/W3084915134","https://openalex.org/W3090865871","https://openalex.org/W3100278010","https://openalex.org/W3100848837","https://openalex.org/W3101291735","https://openalex.org/W3111218397","https://openalex.org/W3117928012","https://openalex.org/W3124962940","https://openalex.org/W3145323629","https://openalex.org/W3156556650","https://openalex.org/W3175377664","https://openalex.org/W3211143493","https://openalex.org/W3211423998","https://openalex.org/W4210334834","https://openalex.org/W4210547182","https://openalex.org/W4212835176","https://openalex.org/W4226013320","https://openalex.org/W4226210911","https://openalex.org/W4226368340","https://openalex.org/W4284670593","https://openalex.org/W4285055475","https://openalex.org/W4285127522","https://openalex.org/W4294558607","https://openalex.org/W4297733535","https://openalex.org/W4312252283","https://openalex.org/W4313156773","https://openalex.org/W6640425456","https://openalex.org/W6680830989","https://openalex.org/W6738964360","https://openalex.org/W6759889029","https://openalex.org/W6761243845","https://openalex.org/W6787263775"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W4285226279","https://openalex.org/W4288019534"],"abstract_inverted_index":{"Recommendation":[0],"systems":[1],"play":[2],"a":[3,39,82,99,134,163],"vital":[4],"role":[5],"in":[6,15,35,85],"identifying":[7],"the":[8,31,86,90,121,151,158,169,184,200,208,219],"hidden":[9],"interactions":[10,128],"between":[11,129],"users":[12,130],"and":[13,67,92,116,131],"items":[14,132],"online":[16],"social":[17],"networks.":[18],"Recently,":[19],"graph":[20,61,137],"neural":[21,138],"networks":[22],"(GNNs)":[23],"have":[24,47],"exhibited":[25],"significant":[26],"performance":[27],"gains":[28],"by":[29,119,198],"modeling":[30],"information":[32],"propagation":[33],"process":[34,167],"graph-structured":[36],"data":[37,56],"for":[38,109,147,207],"recommendation.":[40,209],"However,":[41],"existing":[42],"GNN-based":[43,95],"methods":[44],"do":[45],"not":[46],"broad":[48],"applicability":[49],"to":[50,65,142,156,181],"heterogeneous":[51,136],"graphs":[52],"that":[53],"integrate":[54],"auxiliary":[55],"with":[57,177],"diverse":[58],"types.":[59],"Moreover,":[60],"structures":[62],"are":[63],"susceptible":[64],"noise":[66],"even":[68],"unnoticed":[69],"malicious":[70],"perturbations,":[71],"as":[72],"perturbations":[73,179],"from":[74,174],"connected":[75],"nodes":[76,173,176,197],"can":[77],"create":[78],"cumulative":[79],"effects":[80],"on":[81,213],"target":[83],"node":[84],"graph.":[87],"To":[88],"enhance":[89],"robustness":[91],"generalization":[93],"of":[94,124,127,202,221],"recommendations,":[96,148],"we":[97,149,189],"propose":[98],"new":[100],"optimization":[101,165],"model":[102],"named":[103],"Adversarial":[104],"Heterogeneous":[105],"Graph":[106],"Neural":[107],"Network":[108],"RECommendation":[110],"(AHGNNRec).":[111],"First,":[112],"AHGNNRec":[113],"learns":[114],"user":[115,194],"item":[117,196],"embeddings":[118,146],"exploring":[120],"distinct":[122],"contributions":[123],"various":[125],"types":[126],"using":[133],"hierarchical":[135],"network":[139],"(HGNN).":[140],"Second,":[141],"produce":[143],"more":[144],"robust":[145],"employ":[150],"adversarial":[152,171,193],"training":[153,166],"(AT)":[154],"method":[155],"optimize":[157],"HGNN":[159],"layers.":[160],"AT":[161],"is":[162],"min-max":[164],"where":[168],"generated":[170],"fake":[172],"normal":[175],"intentional":[178],"try":[180],"maximally":[182],"deteriorate":[183],"recommendation":[185],"performance.":[186],"Following":[187],"this,":[188],"learn":[190],"about":[191],"these":[192],"or":[195],"minimizing":[199],"impact":[201],"an":[203],"additional":[204],"regularization":[205],"term":[206],"The":[210],"experimental":[211],"outcomes":[212],"two":[214],"real-world":[215],"benchmark":[216],"datasets":[217],"demonstrate":[218],"effectiveness":[220],"AHGNNRec.":[222]},"counts_by_year":[{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
