{"id":"https://openalex.org/W4306317259","doi":"https://doi.org/10.1145/3511808.3557586","title":"Dual-Augment Graph Neural Network for Fraud Detection","display_name":"Dual-Augment Graph Neural Network for Fraud Detection","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4306317259","doi":"https://doi.org/10.1145/3511808.3557586"},"language":"en","primary_location":{"id":"doi:10.1145/3511808.3557586","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511808.3557586","pdf_url":null,"source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management","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 31st ACM International Conference on Information &amp; Knowledge Management","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/A5041505523","display_name":"Qiutong Li","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiutong Li","raw_affiliation_strings":["Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084965620","display_name":"Yanshen He","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanshen He","raw_affiliation_strings":["Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103445423","display_name":"Cong Xu","orcid":"https://orcid.org/0000-0002-8612-8499"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cong Xu","raw_affiliation_strings":["Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070591182","display_name":"Feng Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Wu","raw_affiliation_strings":["Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060720664","display_name":"Jianliang Gao","orcid":"https://orcid.org/0000-0002-9363-9908"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianliang Gao","raw_affiliation_strings":["Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032277491","display_name":"Zhao Li","orcid":"https://orcid.org/0000-0002-5056-0351"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Li","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5041505523"],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":null,"apc_paid":null,"fwci":2.7122,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.92066773,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4188","last_page":"4192"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9961000084877014,"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":0.9961000084877014,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9947999715805054,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9715999960899353,"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":0.8108373880386353},{"id":"https://openalex.org/keywords/augment","display_name":"Augment","score":0.7373484373092651},{"id":"https://openalex.org/keywords/homophily","display_name":"Homophily","score":0.6761744022369385},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5732550024986267},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5378860831260681},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5084668397903442},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49730733036994934},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4945671260356903},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45887625217437744},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3391398787498474},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2248644232749939},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07106584310531616}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8108373880386353},{"id":"https://openalex.org/C2779070825","wikidata":"https://www.wikidata.org/wiki/Q760434","display_name":"Augment","level":2,"score":0.7373484373092651},{"id":"https://openalex.org/C2779812341","wikidata":"https://www.wikidata.org/wiki/Q5891525","display_name":"Homophily","level":2,"score":0.6761744022369385},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5732550024986267},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5378860831260681},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5084668397903442},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49730733036994934},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4945671260356903},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45887625217437744},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3391398787498474},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2248644232749939},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07106584310531616},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3511808.3557586","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511808.3557586","pdf_url":null,"source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management","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 31st ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G6745562962","display_name":null,"funder_award_id":"61873288","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2064058256","https://openalex.org/W2136891251","https://openalex.org/W2624431344","https://openalex.org/W2897862648","https://openalex.org/W2945996535","https://openalex.org/W2984239289","https://openalex.org/W2998496395","https://openalex.org/W3009901425","https://openalex.org/W3021651554","https://openalex.org/W3022945404","https://openalex.org/W3028772300","https://openalex.org/W3068123808","https://openalex.org/W3087349682","https://openalex.org/W3099064659","https://openalex.org/W3099825604","https://openalex.org/W3102969158","https://openalex.org/W3153858161","https://openalex.org/W3211476206","https://openalex.org/W4206991245","https://openalex.org/W4220721362","https://openalex.org/W4294558607"],"related_works":["https://openalex.org/W2943769328","https://openalex.org/W4386921804","https://openalex.org/W3185373886","https://openalex.org/W3010567961","https://openalex.org/W2802830363","https://openalex.org/W2588006872","https://openalex.org/W4385338594","https://openalex.org/W4200127153","https://openalex.org/W3175275009","https://openalex.org/W2902086760"],"abstract_inverted_index":{"Graph":[0,70],"Neural":[1,71],"Networks":[2],"(GNNs)":[3],"have":[4],"drawn":[5],"attention":[6],"due":[7],"to":[8,31,105,122,126],"their":[9,24,33],"excellent":[10],"performance":[11,58],"in":[12,116,129],"fraud":[13,46,61,75],"detection":[14,47,76],"tasks,":[15],"which":[16],"reveal":[17],"fraudsters":[18,28],"by":[19,35],"aggregating":[20],"the":[21,52,57,107,139,147,150],"features":[22],"of":[23,59,149],"neighbors.":[25],"However,":[26],"some":[27],"typically":[29],"tend":[30],"alleviate":[32],"suspiciousness":[34],"connecting":[36],"with":[37,138],"many":[38],"benign":[39],"ones.":[40],"Besides,":[41],"label-imbalanced":[42],"neighborhood":[43],"also":[44],"deteriorates":[45],"accuracy.":[48],"Such":[49],"behaviors":[50],"violate":[51],"homophily":[53],"assumption":[54],"and":[55,90,112],"worsen":[56],"GNN-based":[60],"detectors.":[62],"In":[63,78],"this":[64],"paper,":[65],"we":[66,80,96],"propose":[67],"a":[68,82,130],"Dual-Augment":[69],"Network":[72],"(DAGNN)":[73],"for":[74],"tasks.":[77],"DAGNN,":[79],"design":[81],"two-pathway":[83],"framework":[84],"including":[85],"disparity":[86,108],"augment":[87,92,106,123],"(DA)":[88],"pathway":[89],"similarity":[91,125],"(SA)":[93],"pathway.":[94],"Accordingly,":[95],"devise":[97],"two":[98,143],"novel":[99],"information":[100],"aggregation":[101],"strategies.":[102],"One":[103],"is":[104,121],"between":[109],"target":[110],"node":[111],"its":[113,124],"heterogenous":[114],"neighbors":[115,128],"original":[117],"topology.":[118],"The":[119,134],"other":[120],"homogenous":[127],"relatively":[131],"label-balanced":[132],"neighborhood.":[133],"experimental":[135],"results":[136],"compared":[137],"state-of-the-art":[140],"models":[141],"on":[142],"real-world":[144],"datasets":[145],"demonstrate":[146],"superiority":[148],"proposed":[151],"DAGNN.":[152]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":11}],"updated_date":"2026-04-23T09:07:50.710637","created_date":"2025-10-10T00:00:00"}
