{"id":"https://openalex.org/W4402351832","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650065","title":"EthGAN: Improving Ethereum Account Classification Accuracy via Data Augmentation","display_name":"EthGAN: Improving Ethereum Account Classification Accuracy via Data Augmentation","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402351832","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650065"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10650065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650065","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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/A5047580108","display_name":"Xuehai Tang","orcid":"https://orcid.org/0000-0002-9901-4087"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuehai Tang","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Information Engineering"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Information Engineering","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103732500","display_name":"Zhongjiang Yao","orcid":"https://orcid.org/0000-0001-6583-9526"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongjiang Yao","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Information Engineering"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Information Engineering","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100578041","display_name":"Huazhen Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huazhen Zhong","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Information Engineering"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Information Engineering","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100325279","display_name":"Guan Wang","orcid":"https://orcid.org/0000-0002-3321-5265"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guan Wang","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Information Engineering"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Information Engineering","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113373647","display_name":"Yuanshu Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanshu Zhao","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Information Engineering"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Information Engineering","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100356749","display_name":"Xiaodan Zhang","orcid":"https://orcid.org/0000-0002-0311-5271"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodan Zhang","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Information Engineering"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Information Engineering","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112539471","display_name":"Jizhong Han","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jizhong Han","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Information Engineering"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Information Engineering","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5047580108"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210156404"],"apc_list":null,"apc_paid":null,"fwci":0.7724,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.76272164,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9979000091552734,"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":0.9979000091552734,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.996999979019165,"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/T10028","display_name":"Topic Modeling","score":0.9932000041007996,"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":0.7225440144538879},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4036772847175598}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7225440144538879},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4036772847175598}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10650065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650065","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1977177161","https://openalex.org/W2064675550","https://openalex.org/W2116341502","https://openalex.org/W2154851992","https://openalex.org/W2393319904","https://openalex.org/W2425051923","https://openalex.org/W2783303037","https://openalex.org/W2810502617","https://openalex.org/W2912083425","https://openalex.org/W2931498375","https://openalex.org/W2962756421","https://openalex.org/W2963250052","https://openalex.org/W2963523189","https://openalex.org/W2963684088","https://openalex.org/W3090105290","https://openalex.org/W3104097132","https://openalex.org/W3106106092","https://openalex.org/W4221069805","https://openalex.org/W4221142149","https://openalex.org/W4224318400","https://openalex.org/W4225751948","https://openalex.org/W4385245566","https://openalex.org/W6685352114","https://openalex.org/W6685777725","https://openalex.org/W6738964360"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Recently,":[0],"with":[1,46,56],"the":[2,8,60,101,123,140,145,154],"prevalent":[3],"adoption":[4],"of":[5,16,62,144,156,170,178],"blockchain":[6],"in":[7,76,190],"financial":[9],"system,":[10],"there":[11],"has":[12],"been":[13],"an":[14,31],"increasing":[15],"anomaly":[17],"activities":[18],"such":[19],"as":[20],"ponzi":[21],"schemes,":[22],"gambling":[23],"and":[24,30,92,103,119,122,142],"phishing":[25],"fraud":[26],"on":[27,44,69,130,161],"Ethereum":[28,45,163,191],"platforms,":[29],"effective":[32],"account":[33,41,66,95,125,192],"classification":[34,42,168],"method":[35,172,186],"is":[36,72,173],"urgently":[37],"required.":[38],"The":[39,108,166],"existing":[40,179],"methods":[43,189],"high":[47],"accuracy":[48,102],"require":[49],"a":[50,81,86,93],"learning":[51],"system":[52],"to":[53,99,138,152],"be":[54],"trained":[55],"balanced":[57],"datasets.":[58,107,147],"However,":[59],"distribution":[61],"annotated":[63],"labels":[64],"for":[65],"identities":[67],"published":[68],"third-party":[70],"sites":[71],"relatively":[73],"imbalanced.":[74],"Therefore,":[75],"this":[77],"paper,":[78],"We":[79,148],"propose":[80],"EthGAN":[82,159],"framework":[83,160],"which":[84],"includes":[85],"high-dimensional":[87,109],"node":[88,110],"feature":[89,111],"representation":[90,112],"module":[91,98,113,128],"few-shot":[94,124,136],"data":[96,126],"augment":[97],"improve":[100,139],"robustness":[104],"at":[105],"imbalanced":[106],"captures":[114],"features":[115],"from":[116],"statistical,":[117],"temporal,":[118],"transaction":[120,164],"structure,":[121],"augmentation":[127],"based":[129],"generative":[131],"adversarial":[132],"network":[133],"models":[134],"generate":[135],"samples":[137],"diversity":[141],"representativeness":[143],"training":[146],"conduct":[149],"extensive":[150],"experiments":[151],"evaluate":[153],"performance":[155],"our":[157,171,185],"proposed":[158],"real-world":[162],"data.":[165],"average":[167],"effect":[169],"10+%":[174],"higher":[175],"than":[176],"that":[177,184],"methods.":[180],"Experimental":[181],"results":[182],"demonstrate":[183],"outperforms":[187],"state-of-the-art":[188],"classification.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}