{"id":"https://openalex.org/W4224326479","doi":"https://doi.org/10.1145/3485447.3512229","title":"ALLIE: Active Learning on Large-scale Imbalanced Graphs","display_name":"ALLIE: Active Learning on Large-scale Imbalanced Graphs","publication_year":2022,"publication_date":"2022-04-25","ids":{"openalex":"https://openalex.org/W4224326479","doi":"https://doi.org/10.1145/3485447.3512229"},"language":"en","primary_location":{"id":"doi:10.1145/3485447.3512229","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3485447.3512229","pdf_url":null,"source":{"id":"https://openalex.org/S4363608783","display_name":"Proceedings of the ACM Web Conference 2022","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 ACM Web Conference 2022","raw_type":"proceedings-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/A5046719515","display_name":"Limeng Cui","orcid":"https://orcid.org/0000-0002-5222-3690"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Limeng Cui","raw_affiliation_strings":["The Pennsylvania State University, USA"],"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070663881","display_name":"Xianfeng Tang","orcid":"https://orcid.org/0000-0002-7955-3104"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xianfeng Tang","raw_affiliation_strings":["Amazon.com, USA"],"affiliations":[{"raw_affiliation_string":"Amazon.com, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005433975","display_name":"Sumeet Katariya","orcid":"https://orcid.org/0009-0008-1807-4215"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sumeet Katariya","raw_affiliation_strings":["Amazon.com, USA"],"affiliations":[{"raw_affiliation_string":"Amazon.com, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081428282","display_name":"Nikhil Rao","orcid":"https://orcid.org/0000-0003-0281-932X"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nikhil Rao","raw_affiliation_strings":["Amazon.com, USA"],"affiliations":[{"raw_affiliation_string":"Amazon.com, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110850884","display_name":"Pallav Agrawal","orcid":null},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pallav Agrawal","raw_affiliation_strings":["Amazon.com, USA"],"affiliations":[{"raw_affiliation_string":"Amazon.com, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021259488","display_name":"Karthik Subbian","orcid":"https://orcid.org/0000-0002-9023-2248"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Karthik Subbian","raw_affiliation_strings":["Amazon.com, USA"],"affiliations":[{"raw_affiliation_string":"Amazon.com, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100405086","display_name":"Dongwon Lee","orcid":"https://orcid.org/0000-0001-8371-7629"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dongwon Lee","raw_affiliation_strings":["The Pennsylvania State University, USA"],"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University, USA","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5046719515"],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":null,"apc_paid":null,"fwci":1.8848,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.8754439,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"690","last_page":"698"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9983000159263611,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9983000159263611,"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"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9959999918937683,"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":0.7999475002288818},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6435157060623169},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5473079085350037},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.531231701374054},{"id":"https://openalex.org/keywords/active-learning","display_name":"Active learning (machine learning)","score":0.5303241610527039},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.43729496002197266},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.12053096294403076}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7999475002288818},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6435157060623169},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5473079085350037},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.531231701374054},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.5303241610527039},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.43729496002197266},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.12053096294403076}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3485447.3512229","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3485447.3512229","pdf_url":null,"source":{"id":"https://openalex.org/S4363608783","display_name":"Proceedings of the ACM Web Conference 2022","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 ACM Web Conference 2022","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1364329765","display_name":null,"funder_award_id":"1940076,1909702,1934782","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W572368116","https://openalex.org/W1975672287","https://openalex.org/W1999446611","https://openalex.org/W2038790644","https://openalex.org/W2096945460","https://openalex.org/W2102560346","https://openalex.org/W2118953734","https://openalex.org/W2118978333","https://openalex.org/W2129575457","https://openalex.org/W2148143831","https://openalex.org/W2155161883","https://openalex.org/W2489487449","https://openalex.org/W2558748708","https://openalex.org/W2767106145","https://openalex.org/W2808130788","https://openalex.org/W2809379039","https://openalex.org/W2890802255","https://openalex.org/W2906918400","https://openalex.org/W2911495555","https://openalex.org/W2962745799","https://openalex.org/W2963351448","https://openalex.org/W2964700358","https://openalex.org/W2969471275","https://openalex.org/W2978725006","https://openalex.org/W2986978058","https://openalex.org/W2997064490","https://openalex.org/W3009763662","https://openalex.org/W3009901425","https://openalex.org/W3011591403","https://openalex.org/W3012747158","https://openalex.org/W3035286001","https://openalex.org/W3041085747","https://openalex.org/W3098465726","https://openalex.org/W3099064659","https://openalex.org/W3153858161","https://openalex.org/W3176536928","https://openalex.org/W4288243420"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Human":[0],"labeling":[1],"is":[2,8],"time-consuming":[3],"and":[4,57],"costly.":[5],"This":[6],"problem":[7],"further":[9],"exacerbated":[10],"in":[11,21,65,75],"extremely":[12],"imbalanced":[13],"class":[14],"label":[15,58],"scenarios,":[16,69],"such":[17,70],"as":[18,71],"detecting":[19],"fraudsters":[20],"online":[22],"websites.":[23],"Active":[24],"learning":[25,48],"selects":[26],"the":[27,36],"most":[28],"relevant":[29],"example":[30],"for":[31,46,49],"human":[32],"labelers":[33],"to":[34],"improve":[35],"model":[37],"performance":[38],"at":[39],"a":[40],"lower":[41],"cost.":[42],"However,":[43],"existing":[44],"methods":[45],"active":[47],"graph":[50],"data":[51,56],"often":[52],"assumes":[53],"that":[54],"both":[55],"distributions":[59],"are":[60],"balanced.":[61],"These":[62],"assumptions":[63],"fail":[64],"extreme":[66],"rare-class":[67],"classification":[68],"classifying":[72],"abusive":[73],"reviews":[74],"an":[76],"e-commerce":[77],"website.":[78]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":4}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}