{"id":"https://openalex.org/W4414881692","doi":"https://doi.org/10.1007/s40747-025-02075-5","title":"A hybrid feature-based heterogeneous graph transformer method for cheating official account mining","display_name":"A hybrid feature-based heterogeneous graph transformer method for cheating official account mining","publication_year":2025,"publication_date":"2025-10-07","ids":{"openalex":"https://openalex.org/W4414881692","doi":"https://doi.org/10.1007/s40747-025-02075-5"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-025-02075-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-025-02075-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-02075-5.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-02075-5.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070246047","display_name":"Liu-Yue Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liu-Yue Luo","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, 510006, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, 510006, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056949686","display_name":"Qi-Te Yang","orcid":"https://orcid.org/0000-0001-5430-7073"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Qi-Te Yang","raw_affiliation_strings":["Hanyang University, Ansan, 15588, South Korea"],"affiliations":[{"raw_affiliation_string":"Hanyang University, Ansan, 15588, South Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020295500","display_name":"Zong-Gan Chen","orcid":"https://orcid.org/0000-0001-7585-5212"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zong-Gan Chen","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou, 510631, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, 510631, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008386708","display_name":"Sam Kwong","orcid":"https://orcid.org/0000-0001-7484-7261"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sam Kwong","raw_affiliation_strings":["School of Data Science, Lingnan University, Hong Kong, SAR, China"],"affiliations":[{"raw_affiliation_string":"School of Data Science, Lingnan University, Hong Kong, SAR, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100400217","display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0001-7835-9871"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]},{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["CN","KR"],"is_corresponding":false,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["College of Artificial Intelligence, Nankai University, Tianjin, 300350, China","Hanyang University, Ansan, 15588, South Korea"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University, Tianjin, 300350, China","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"Hanyang University, Ansan, 15588, South Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011145004","display_name":"Zhi\u2010Hui Zhan","orcid":"https://orcid.org/0000-0003-0862-0514"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi-Hui Zhan","raw_affiliation_strings":["College of Artificial Intelligence, Nankai University, Tianjin, 300350, China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University, Tianjin, 300350, China","institution_ids":["https://openalex.org/I205237279"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5070246047"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14106378,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":"11","first_page":null,"last_page":null},"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/T11644","display_name":"Spam and Phishing Detection","score":0.9977999925613403,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cheating","display_name":"Cheating","score":0.7009999752044678},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5512999892234802},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.46700000762939453},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.44620001316070557},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.44020000100135803},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4124000072479248},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.40540000796318054},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4023999869823456}],"concepts":[{"id":"https://openalex.org/C2778024590","wikidata":"https://www.wikidata.org/wiki/Q2357432","display_name":"Cheating","level":2,"score":0.7009999752044678},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6847000122070312},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5512999892234802},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49939998984336853},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.46700000762939453},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.44620001316070557},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.44020000100135803},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4124000072479248},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.40540000796318054},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4023999869823456},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4009999930858612},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.38420000672340393},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.3659999966621399},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3644999861717224},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3465999960899353},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33149999380111694},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32519999146461487},{"id":"https://openalex.org/C106937863","wikidata":"https://www.wikidata.org/wiki/Q7236518","display_name":"Power graph analysis","level":3,"score":0.3199999928474426},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2721000015735626},{"id":"https://openalex.org/C76363472","wikidata":"https://www.wikidata.org/wiki/Q1437394","display_name":"Formal concept analysis","level":2,"score":0.2581000030040741},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.25270000100135803}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-025-02075-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-025-02075-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-02075-5.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f367ded390f0491b9979d83bcaa1aa75","is_oa":true,"landing_page_url":"https://doaj.org/article/f367ded390f0491b9979d83bcaa1aa75","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 11, Iss 11, Pp 1-14 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-025-02075-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-025-02075-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-02075-5.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1023919524","display_name":null,"funder_award_id":", Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4099885540","display_name":null,"funder_award_id":"62176094","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8322327632","display_name":null,"funder_award_id":"U23B2039","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8540529719","display_name":null,"funder_award_id":"62206100","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8969507859","display_name":null,"funder_award_id":"62176094","funder_id":"https://openalex.org/F4320333688","funder_display_name":"National Outstanding Youth Science Fund Project of National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320316083","display_name":"Tencent","ror":"https://ror.org/00hhjss72"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320333688","display_name":"National Outstanding Youth Science Fund Project of National Natural Science Foundation of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4414881692.pdf","grobid_xml":"https://content.openalex.org/works/W4414881692.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1832693441","https://openalex.org/W1967863517","https://openalex.org/W2098395374","https://openalex.org/W2139645402","https://openalex.org/W2184957013","https://openalex.org/W2250342289","https://openalex.org/W2283196293","https://openalex.org/W2470673105","https://openalex.org/W2514852614","https://openalex.org/W2592516822","https://openalex.org/W2604314403","https://openalex.org/W2743104969","https://openalex.org/W2767774008","https://openalex.org/W2798673265","https://openalex.org/W2896933640","https://openalex.org/W2914949894","https://openalex.org/W2945266622","https://openalex.org/W2951342181","https://openalex.org/W2963707260","https://openalex.org/W2965857891","https://openalex.org/W2997461192","https://openalex.org/W3003795821","https://openalex.org/W3004507689","https://openalex.org/W3012871709","https://openalex.org/W3024257429","https://openalex.org/W3103513278","https://openalex.org/W3205684765","https://openalex.org/W4213147383","https://openalex.org/W4293506665","https://openalex.org/W4391721457","https://openalex.org/W4393483100","https://openalex.org/W4408507586"],"related_works":[],"abstract_inverted_index":{"As":[0],"cheating":[1],"official":[2,189],"accounts":[3,38],"(COAs)":[4],"in":[5],"social":[6],"media":[7],"has":[8,19],"posed":[9],"a":[10,50,85],"significant":[11],"threat":[12],"to":[13,16,64,130],"society,":[14],"how":[15],"detect":[17],"COAs":[18,26,31,66],"attracted":[20],"increasing":[21],"attention":[22],"worldwide.":[23],"However,":[24],"mining":[25,78],"is":[27],"challenging":[28],"because":[29],"the":[30,76,81,90,94,101,107,120,142,152,166,183,186],"are":[32],"always":[33],"much":[34],"fewer":[35],"than":[36,171],"normal":[37,45],"and":[39,61,127,134,144,148,178],"will":[40],"conceal":[41],"themselves":[42],"by":[43,122],"mimicking":[44],"accounts.":[46,190],"Therefore,":[47],"we":[48,74,118],"propose":[49,119],"novel":[51],"hybrid":[52],"heterogeneous":[53],"graph":[54],"transformer":[55],"(HHGT)":[56],"method":[57],"with":[58,69,84],"both":[59,124],"content":[60,103,126],"topology":[62,109,128],"features":[63,129],"mine":[65],"more":[67],"accurately,":[68],"two":[70],"main":[71],"contributions.":[72],"First,":[73],"tackle":[75],"COA":[77,115,138,160],"problem":[79],"for":[80,114,137,159,182],"first":[82],"time":[83],"real-world":[86],"dataset":[87],"established":[88],"from":[89],"WeChat":[91,154],"platform,":[92],"where":[93],"data":[95],"analysis":[96,184],"reveals":[97],"that":[98,165],"not":[99],"only":[100],"node":[102,108,125],"feature":[104,110,149],"but":[105],"also":[106],"can":[111,179],"be":[112],"useful":[113],"mining.":[116,139,161],"Second,":[117],"HHGT":[121,143,168],"learning":[123],"exhibit":[131],"superior":[132],"generalization":[133],"representation":[135],"capabilities":[136],"We":[140],"benchmark":[141],"study":[145],"its":[146],"performance":[147],"effectiveness":[150],"on":[151,175],"real":[153],"dataset,":[155],"providing":[156],"helpful":[157],"insights":[158],"Experimental":[162],"results":[163],"show":[164],"proposed":[167],"performs":[169],"better":[170],"all":[172],"compared":[173],"methods":[174],"unseen":[176],"data,":[177],"provide":[180],"support":[181],"of":[185],"relationship":[187],"among":[188]},"counts_by_year":[],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}
