{"id":"https://openalex.org/W4402124801","doi":"https://doi.org/10.1109/access.2024.3453178","title":"LabelGen: An Anomaly Label Generative Framework for Enhanced Graph Anomaly Detection","display_name":"LabelGen: An Anomaly Label Generative Framework for Enhanced Graph Anomaly Detection","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402124801","doi":"https://doi.org/10.1109/access.2024.3453178"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3453178","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2024.3453178","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dx.doi.org/10.1109/access.2024.3453178","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081981671","display_name":"Siqi Xia","orcid":"https://orcid.org/0000-0001-9211-0132"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Siqi Xia","raw_affiliation_strings":["School of Information Technology, Deakin University, Geelong, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0001-9211-0132","affiliations":[{"raw_affiliation_string":"School of Information Technology, Deakin University, Geelong, VIC, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050131132","display_name":"Sutharshan Rajasegarar","orcid":"https://orcid.org/0000-0002-6559-6736"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Sutharshan Rajasegarar","raw_affiliation_strings":["School of Information Technology, Deakin University, Geelong, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0002-6559-6736","affiliations":[{"raw_affiliation_string":"School of Information Technology, Deakin University, Geelong, VIC, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045991464","display_name":"Lei Pan","orcid":"https://orcid.org/0000-0002-4691-8330"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lei Pan","raw_affiliation_strings":["School of Information Technology, Deakin University, Geelong, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0002-4691-8330","affiliations":[{"raw_affiliation_string":"School of Information Technology, Deakin University, Geelong, VIC, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076014464","display_name":"Christopher Leckie","orcid":"https://orcid.org/0000-0002-4388-0517"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Christopher Leckie","raw_affiliation_strings":["Computing and Information Systems, The University of Melbourne, Melbourne, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0002-4388-0517","affiliations":[{"raw_affiliation_string":"Computing and Information Systems, The University of Melbourne, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070030398","display_name":"Sarah Erfani","orcid":"https://orcid.org/0000-0003-0885-0643"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Sarah M. Erfani","raw_affiliation_strings":["Computing and Information Systems, The University of Melbourne, Melbourne, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0003-0885-0643","affiliations":[{"raw_affiliation_string":"Computing and Information Systems, The University of Melbourne, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071422010","display_name":"Jeffrey Chan","orcid":"https://orcid.org/0000-0002-7865-072X"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jeffrey Chan","raw_affiliation_strings":["School of Computing Technologies, RMIT University, Melbourne, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0002-7865-072X","affiliations":[{"raw_affiliation_string":"School of Computing Technologies, RMIT University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I82951845"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.5557,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.71511883,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"12","issue":null,"first_page":"121971","last_page":"121982"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12127","display_name":"Software System Performance and Reliability","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/anomaly-detection","display_name":"Anomaly detection","score":0.7257477045059204},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.6532509326934814},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5907646417617798},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4727899730205536},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4564637243747711},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39481765031814575},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38734060525894165},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.17018252611160278},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0981815755367279}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7257477045059204},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.6532509326934814},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5907646417617798},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4727899730205536},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4564637243747711},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39481765031814575},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38734060525894165},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.17018252611160278},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0981815755367279},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2024.3453178","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2024.3453178","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c2d5bbab100e4f9f84685f1fc17dba18","is_oa":true,"landing_page_url":"https://doaj.org/article/c2d5bbab100e4f9f84685f1fc17dba18","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 121971-121982 (2024)","raw_type":"article"},{"id":"pmh:oai:figshare.com:article/27132066","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/LabelGen_An_Anomaly_Label_Generative_Framework_for_Enhanced_Graph_Anomaly_Detection/27132066","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3453178","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2024.3453178","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5300797291","display_name":"Learning the Focus of Attention to Detect Distributed Coordinated Attacks","funder_award_id":"DP200101960","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W2018992824","https://openalex.org/W2089554624","https://openalex.org/W2101491865","https://openalex.org/W2111184007","https://openalex.org/W2122646361","https://openalex.org/W2137130182","https://openalex.org/W2165116724","https://openalex.org/W2741114205","https://openalex.org/W2803255133","https://openalex.org/W2907492528","https://openalex.org/W2936503027","https://openalex.org/W2944250323","https://openalex.org/W2963169753","https://openalex.org/W2963415211","https://openalex.org/W2963748489","https://openalex.org/W2998336824","https://openalex.org/W3015799890","https://openalex.org/W3034122135","https://openalex.org/W3036446966","https://openalex.org/W3093694263","https://openalex.org/W3094489429","https://openalex.org/W3099152386","https://openalex.org/W3134509497","https://openalex.org/W3151900735","https://openalex.org/W3152893301","https://openalex.org/W3171389163","https://openalex.org/W3206326321","https://openalex.org/W3206604724","https://openalex.org/W4225718713","https://openalex.org/W4254182148","https://openalex.org/W4297733535","https://openalex.org/W4312552798","https://openalex.org/W4318481151","https://openalex.org/W4318811779","https://openalex.org/W4321240473","https://openalex.org/W4365395059","https://openalex.org/W4375798894","https://openalex.org/W4390494322","https://openalex.org/W4396583078","https://openalex.org/W6674460052","https://openalex.org/W6738964360","https://openalex.org/W6779304510","https://openalex.org/W6784778522","https://openalex.org/W6786860526","https://openalex.org/W6795898371","https://openalex.org/W6804547949","https://openalex.org/W6854026103"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4377864969","https://openalex.org/W2972971679"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1,69,192],"in":[2,16,41,77,93,139,156,188,194],"graphs":[3],"is":[4,186],"increasingly":[5],"used":[6],"to":[7,60,73,141],"reveal":[8,180],"fraud,":[9],"fakes,":[10],"security":[11],"attacks":[12],"and":[13,25,55,66,103,128,136,144,168,176,203],"unusual":[14],"behaviours":[15],"networks,":[17,21],"such":[18,32,98],"as":[19,48,50,99,164,166],"social":[20],"financial":[22],"transaction":[23],"networks":[24],"the":[26,109,116,151,157,182,190],"Internet":[27],"of":[28,43,95,118,153],"Things.":[29],"Accurately":[30],"detecting":[31],"graph":[33,96,110],"anomalies":[34,155],"using":[35],"deep":[36,106],"learning":[37,131],"approaches":[38],"faces":[39],"challenges":[40,76],"terms":[42,94],"obtaining":[44],"sufficient":[45,143],"labelled":[46],"data,":[47],"well":[49,165],"an":[51,124,129],"imbalance":[52],"between":[53,201],"normal":[54],"anomalous":[56,91,146],"instances.":[57],"These":[58],"contribute":[59],"model":[61],"bias":[62],"or":[63],"over-fitting":[64],"problems":[65],"inferior":[67],"anomaly":[68,125,191],"outcomes.":[70],"In":[71,112],"order":[72,140],"address":[74],"these":[75],"graphs,":[78,195],"we":[79,114],"propose":[80,115],"a":[81,119,134,198],"novel":[82],"generative":[83,184],"framework,":[84],"called":[85],"LabelGen,":[86],"that":[87,148,181],"can":[88],"generate":[89,142],"additional":[90],"labels,":[92],"objects,":[97],"nodes,":[100],"through":[101],"augmentation":[102],"provide":[104],"updated":[105],"embedding":[107],"for":[108],"concurrently.":[111],"particular,":[113],"use":[117],"k-hop":[120],"neighborhood":[121],"sampling":[122],"strategy,":[123],"scoring":[126],"mechanism":[127],"adversarial":[130],"framework":[132,185],"with":[133,171],"generator":[135],"discriminator":[137],"pair":[138],"informative":[145],"nodes":[147],"closely":[149],"resemble":[150],"characteristics":[152],"existing":[154,178],"graph.":[158],"Evaluation":[159],"on":[160],"benchmark":[161],"network":[162],"datasets,":[163],"ablation":[167],"comparison":[169],"studies":[170],"random":[172],"label":[173],"generation":[174],"processes":[175],"other":[177],"works":[179],"proposed":[183],"superior":[187],"improving":[189],"accuracy":[193,202],"while":[196],"achieving":[197],"balanced":[199],"trade-off":[200],"computational":[204],"efficiency.":[205]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}