{"id":"https://openalex.org/W7134918140","doi":"https://doi.org/10.1109/icdmw69685.2025.00025","title":"A Graph Machine Learning Approach for Detecting Topological Patterns in Transactional Graphs","display_name":"A Graph Machine Learning Approach for Detecting Topological Patterns in Transactional Graphs","publication_year":2025,"publication_date":"2025-11-12","ids":{"openalex":"https://openalex.org/W7134918140","doi":"https://doi.org/10.1109/icdmw69685.2025.00025"},"language":null,"primary_location":{"id":"doi:10.1109/icdmw69685.2025.00025","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw69685.2025.00025","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Data Mining Workshops (ICDMW)","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/A5067556242","display_name":"Francesco Zola","orcid":"https://orcid.org/0000-0002-1733-5515"},"institutions":[{"id":"https://openalex.org/I4210092551","display_name":"Vicomtech","ror":"https://ror.org/0023sah13","country_code":"ES","type":"facility","lineage":["https://openalex.org/I4210092551"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Francesco Zola","raw_affiliation_strings":["Vicomtech Foundation,Digital Security,Donostia,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vicomtech Foundation,Digital Security,Donostia,Spain","institution_ids":["https://openalex.org/I4210092551"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114386403","display_name":"Jon Ander Medina","orcid":"https://orcid.org/0009-0008-1107-0617"},"institutions":[{"id":"https://openalex.org/I4210092551","display_name":"Vicomtech","ror":"https://ror.org/0023sah13","country_code":"ES","type":"facility","lineage":["https://openalex.org/I4210092551"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jon Ander Medina","raw_affiliation_strings":["Vicomtech Foundation,Digital Security,Donostia,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vicomtech Foundation,Digital Security,Donostia,Spain","institution_ids":["https://openalex.org/I4210092551"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106315570","display_name":"A. Venturi","orcid":"https://orcid.org/0000-0002-0249-4142"},"institutions":[{"id":"https://openalex.org/I4210092551","display_name":"Vicomtech","ror":"https://ror.org/0023sah13","country_code":"ES","type":"facility","lineage":["https://openalex.org/I4210092551"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Andrea Venturi","raw_affiliation_strings":["Vicomtech Foundation,Digital Security,Donostia,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vicomtech Foundation,Digital Security,Donostia,Spain","institution_ids":["https://openalex.org/I4210092551"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000399820","display_name":"Amaia Gil","orcid":"https://orcid.org/0000-0002-0760-8479"},"institutions":[{"id":"https://openalex.org/I4210092551","display_name":"Vicomtech","ror":"https://ror.org/0023sah13","country_code":"ES","type":"facility","lineage":["https://openalex.org/I4210092551"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Amaia Gil","raw_affiliation_strings":["Vicomtech Foundation,Digital Security,Donostia,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vicomtech Foundation,Digital Security,Donostia,Spain","institution_ids":["https://openalex.org/I4210092551"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070071832","display_name":"Ra\u00fal Orduna","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092551","display_name":"Vicomtech","ror":"https://ror.org/0023sah13","country_code":"ES","type":"facility","lineage":["https://openalex.org/I4210092551"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Raul Orduna","raw_affiliation_strings":["Vicomtech Foundation,Digital Security,Donostia,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vicomtech Foundation,Digital Security,Donostia,Spain","institution_ids":["https://openalex.org/I4210092551"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.5175,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.94406024,"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":"166","last_page":"173"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.4277999997138977,"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":0.4277999997138977,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.16940000653266907,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.07039999961853027,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4607999920845032},{"id":"https://openalex.org/keywords/topological-data-analysis","display_name":"Topological data analysis","score":0.3944999873638153},{"id":"https://openalex.org/keywords/topological-graph-theory","display_name":"Topological graph theory","score":0.28139999508857727},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2793999910354614},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.2685999870300293}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5843999981880188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4997999966144562},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4607999920845032},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39629998803138733},{"id":"https://openalex.org/C2776477805","wikidata":"https://www.wikidata.org/wiki/Q4460773","display_name":"Topological data analysis","level":2,"score":0.3944999873638153},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38940000534057617},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3086000084877014},{"id":"https://openalex.org/C157406716","wikidata":"https://www.wikidata.org/wiki/Q4115842","display_name":"Topological graph theory","level":5,"score":0.28139999508857727},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2793999910354614},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2685999870300293},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.2685999870300293},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.26170000433921814},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.2531000077724457}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdmw69685.2025.00025","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw69685.2025.00025","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Data Mining Workshops (ICDMW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W950821216","https://openalex.org/W1968178733","https://openalex.org/W2002779084","https://openalex.org/W2041757699","https://openalex.org/W2171707538","https://openalex.org/W2522834812","https://openalex.org/W2788185337","https://openalex.org/W2893870016","https://openalex.org/W2907492528","https://openalex.org/W2964015378","https://openalex.org/W3003066165","https://openalex.org/W3021503072","https://openalex.org/W3033661566","https://openalex.org/W3083869469","https://openalex.org/W3160755456","https://openalex.org/W3201293162","https://openalex.org/W4210340004","https://openalex.org/W4210358464","https://openalex.org/W4226383825","https://openalex.org/W4312489444","https://openalex.org/W4318698632","https://openalex.org/W4385392921","https://openalex.org/W4389096686","https://openalex.org/W4389880135","https://openalex.org/W4402594166","https://openalex.org/W4403813614","https://openalex.org/W4404351473","https://openalex.org/W4405930334","https://openalex.org/W7133195726"],"related_works":[],"abstract_inverted_index":{"The":[0],"rise":[1],"of":[2,86,101],"digital":[3],"ecosystems":[4],"has":[5],"exposed":[6],"the":[7,35,47,84,99,160,171],"financial":[8,103,200],"sector":[9],"to":[10,38,55,82,114,138,153,168,207],"evolving":[11],"abuse":[12],"and":[13,20,24,59,79,147,182],"criminal":[14,43],"tactics":[15],"that":[16,51,74,111,128,190],"share":[17],"operational":[18],"knowledge":[19],"techniques":[21],"both":[22],"within":[23,90],"across":[25],"different":[26,177],"environments":[27],"(fiat-based,":[28],"crypto-assets,":[29],"etc.).":[30],"Traditional":[31],"rule-based":[32,209],"systems":[33],"lack":[34],"adaptability":[36],"needed":[37],"detect":[39],"sophisticated":[40],"or":[41],"coordinated":[42],"behaviors":[44],"(patterns),":[45],"highlighting":[46],"need":[48],"for":[49,116,197],"strategies":[50,152],"analyze":[52],"actors'":[53],"interactions":[54],"uncover":[56],"suspicious":[57],"activities":[58],"extract":[60],"their":[61],"modus":[62],"operandi.":[63],"For":[64],"this":[65,68,185,191],"reason,":[66],"in":[67,98,184],"work,":[69],"we":[70,121],"propose":[71,123],"an":[72],"approach":[73],"integrates":[75],"graph":[76,132],"machine":[77],"learning":[78],"network":[80],"analysis":[81],"improve":[83],"detection":[85,210],"well-known":[87,172],"topological":[88,173],"patterns":[89],"transactional":[91],"graphs.":[92],"However,":[93],"a":[94,124,204],"key":[95],"challenge":[96],"lies":[97],"limitations":[100],"traditional":[102],"datasets,":[104],"which":[105],"often":[106],"provide":[107],"sparse,":[108],"unlabeled":[109],"information":[110],"is":[112,162,195],"difficult":[113],"use":[115],"graphbased":[117],"pattern":[118],"analysis.":[119,186],"Therefore,":[120],"firstly":[122],"fourstep":[125],"preprocessing":[126],"framework":[127],"involves":[129],"(i)":[130],"extracting":[131],"structures,":[133],"(ii)":[134],"considering":[135],"data":[136,161],"temporality":[137],"manage":[139],"large":[140],"node":[141],"sets,":[142],"(iii)":[143],"detecting":[144,198],"communities":[145],"within,":[146],"(iv)":[148],"applying":[149],"automatic":[150],"labeling":[151],"generate":[154],"weak":[155],"ground-truth":[156],"labels.":[157],"Then,":[158],"once":[159],"processed,":[163],"Graph":[164],"Autoencoders":[165],"are":[166,180],"implemented":[167,181],"distinguish":[169],"among":[170],"patterns.":[174],"Specifically,":[175],"three":[176],"GAE":[178],"variants":[179],"compared":[183],"Preliminary":[187],"results":[188],"show":[189],"pattern-focused,":[192],"topology-driven":[193],"method":[194],"effective":[196],"complex":[199],"crime":[201],"schemes,":[202],"offering":[203],"promising":[205],"alternative":[206],"conventional":[208],"systems.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-12T00:00:00"}