{"id":"https://openalex.org/W4284670593","doi":"https://doi.org/10.1145/3477495.3531763","title":"Adversarial Graph Perturbations for Recommendations at Scale","display_name":"Adversarial Graph Perturbations for Recommendations at Scale","publication_year":2022,"publication_date":"2022-07-06","ids":{"openalex":"https://openalex.org/W4284670593","doi":"https://doi.org/10.1145/3477495.3531763"},"language":"en","primary_location":{"id":"doi:10.1145/3477495.3531763","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477495.3531763","pdf_url":null,"source":{"id":"https://openalex.org/S4363608773","display_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 45th 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/A5004341287","display_name":"Huiyuan Chen","orcid":"https://orcid.org/0000-0002-6360-558X"},"institutions":[{"id":"https://openalex.org/I4210148469","display_name":"Visa (United States)","ror":"https://ror.org/05t1y0b59","country_code":"US","type":"company","lineage":["https://openalex.org/I4210148469"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huiyuan Chen","raw_affiliation_strings":["Visa Research, palo alto, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Visa Research, palo alto, CA, USA","institution_ids":["https://openalex.org/I4210148469"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071607114","display_name":"Kaixiong Zhou","orcid":"https://orcid.org/0000-0001-5226-8736"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kaixiong Zhou","raw_affiliation_strings":["Rice University, Houston, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rice University, Houston, TX, USA","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089183436","display_name":"Kwei-Herng Lai","orcid":"https://orcid.org/0000-0001-8933-7117"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kwei-Herng Lai","raw_affiliation_strings":["Rice University, Houston, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rice University, Houston, TX, USA","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068477431","display_name":"Xia Hu","orcid":"https://orcid.org/0000-0003-2234-3226"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xia Hu","raw_affiliation_strings":["Rice University, Houston, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rice University, Houston, TX, USA","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100455768","display_name":"Fei Wang","orcid":"https://orcid.org/0000-0001-9459-9461"},"institutions":[{"id":"https://openalex.org/I4210148469","display_name":"Visa (United States)","ror":"https://ror.org/05t1y0b59","country_code":"US","type":"company","lineage":["https://openalex.org/I4210148469"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fei Wang","raw_affiliation_strings":["Visa Research, palo alto, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Visa Research, palo alto, CA, USA","institution_ids":["https://openalex.org/I4210148469"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038736812","display_name":"Hao Yang","orcid":"https://orcid.org/0000-0001-8861-7010"},"institutions":[{"id":"https://openalex.org/I4210148469","display_name":"Visa (United States)","ror":"https://ror.org/05t1y0b59","country_code":"US","type":"company","lineage":["https://openalex.org/I4210148469"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao Yang","raw_affiliation_strings":["Visa Research, palo alto, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Visa Research, palo alto, CA, USA","institution_ids":["https://openalex.org/I4210148469"]}]}],"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":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1854","last_page":"1858"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9955999851226807,"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":0.989799976348877,"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/adversarial-system","display_name":"Adversarial system","score":0.9211203455924988},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6905513405799866},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5841824412345886},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5702111721038818},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46280521154403687},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4462670683860779},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36556947231292725}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.9211203455924988},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6905513405799866},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5841824412345886},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5702111721038818},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46280521154403687},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4462670683860779},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36556947231292725},{"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},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3477495.3531763","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477495.3531763","pdf_url":null,"source":{"id":"https://openalex.org/S4363608773","display_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2085534751","https://openalex.org/W2543927648","https://openalex.org/W2798868970","https://openalex.org/W2803831897","https://openalex.org/W2807021761","https://openalex.org/W2913754224","https://openalex.org/W2945827670","https://openalex.org/W2949208225","https://openalex.org/W2964971928","https://openalex.org/W2972965281","https://openalex.org/W2985888257","https://openalex.org/W2994506732","https://openalex.org/W2997502936","https://openalex.org/W3045200674","https://openalex.org/W3081203761","https://openalex.org/W3098276446","https://openalex.org/W3100278010","https://openalex.org/W3100848837","https://openalex.org/W3156833186","https://openalex.org/W3171389163","https://openalex.org/W3211143493"],"related_works":["https://openalex.org/W4315780078","https://openalex.org/W4225161019","https://openalex.org/W4312326921","https://openalex.org/W3094843325","https://openalex.org/W4221146314","https://openalex.org/W4311734044","https://openalex.org/W4379258830","https://openalex.org/W2998122931","https://openalex.org/W2964583308","https://openalex.org/W2945796017"],"abstract_inverted_index":{"Graph":[0],"Neural":[1],"Networks":[2],"(GNNs)":[3],"provide":[4],"a":[5,30],"class":[6],"of":[7,39,57],"powerful":[8],"architectures":[9],"that":[10],"are":[11,19],"effective":[12,33],"for":[13],"graph-based":[14],"collaborative":[15],"filtering.":[16],"Nevertheless,":[17],"GNNs":[18],"known":[20],"to":[21,24,35],"be":[22],"vulnerable":[23],"adversarial":[25,48],"perturbations.":[26],"Adversarial":[27],"training":[28],"is":[29],"simple":[31],"yet":[32],"way":[34],"improve":[36],"the":[37],"robustness":[38],"neural":[40],"models.":[41],"For":[42],"example,":[43],"many":[44],"prior":[45],"studies":[46],"inject":[47],"perturbations":[49],"into":[50],"either":[51],"node":[52],"features":[53],"or":[54],"hidden":[55],"layers":[56],"GNNs.":[58],"However,":[59],"perturbing":[60],"graph":[61],"structures":[62],"has":[63],"been":[64],"far":[65],"less":[66],"studied":[67],"in":[68],"recommendations.":[69]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}