{"id":"https://openalex.org/W4417026949","doi":"https://doi.org/10.1002/cpe.70474","title":"<scp>BPMGLAM</scp> : A Predictive Business Process Monitoring Framework Based on Graph Contrastive Learning and Attention Mechanisms","display_name":"<scp>BPMGLAM</scp> : A Predictive Business Process Monitoring Framework Based on Graph Contrastive Learning and Attention Mechanisms","publication_year":2025,"publication_date":"2025-12-05","ids":{"openalex":"https://openalex.org/W4417026949","doi":"https://doi.org/10.1002/cpe.70474"},"language":"en","primary_location":{"id":"doi:10.1002/cpe.70474","is_oa":false,"landing_page_url":"https://doi.org/10.1002/cpe.70474","pdf_url":null,"source":{"id":"https://openalex.org/S11065456","display_name":"Concurrency and Computation Practice and Experience","issn_l":"1532-0626","issn":["1532-0626","1532-0634"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Concurrency and Computation: Practice and Experience","raw_type":"journal-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/A5078711886","display_name":"Xinsheng Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I184681353","display_name":"Anhui University of Science and Technology","ror":"https://ror.org/00q9atg80","country_code":"CN","type":"education","lineage":["https://openalex.org/I184681353"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinsheng Fang","raw_affiliation_strings":["Anhui Province Engineering Laboratory for Big Data Analysis and Early Warning Technology of Coal Mine Safety  Huainan China","College of Mathematics and Big Data Anhui University of Science and Technology  Huainan China"],"raw_orcid":"https://orcid.org/0009-0000-8704-6156","affiliations":[{"raw_affiliation_string":"Anhui Province Engineering Laboratory for Big Data Analysis and Early Warning Technology of Coal Mine Safety  Huainan China","institution_ids":[]},{"raw_affiliation_string":"College of Mathematics and Big Data Anhui University of Science and Technology  Huainan China","institution_ids":["https://openalex.org/I184681353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078711886","display_name":"Xinsheng Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I184681353","display_name":"Anhui University of Science and Technology","ror":"https://ror.org/00q9atg80","country_code":"CN","type":"education","lineage":["https://openalex.org/I184681353"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinsheng Fang","raw_affiliation_strings":["Anhui Province Engineering Laboratory for Big Data Analysis and Early Warning Technology of Coal Mine Safety  Huainan China","College of Mathematics and Big Data Anhui University of Science and Technology  Huainan China"],"raw_orcid":"https://orcid.org/0009-0000-8704-6156","affiliations":[{"raw_affiliation_string":"Anhui Province Engineering Laboratory for Big Data Analysis and Early Warning Technology of Coal Mine Safety  Huainan China","institution_ids":[]},{"raw_affiliation_string":"College of Mathematics and Big Data Anhui University of Science and Technology  Huainan China","institution_ids":["https://openalex.org/I184681353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067992545","display_name":"Xianwen Fang","orcid":"https://orcid.org/0000-0001-8531-7215"},"institutions":[{"id":"https://openalex.org/I184681353","display_name":"Anhui University of Science and Technology","ror":"https://ror.org/00q9atg80","country_code":"CN","type":"education","lineage":["https://openalex.org/I184681353"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianwen Fang","raw_affiliation_strings":["Anhui Province Engineering Laboratory for Big Data Analysis and Early Warning Technology of Coal Mine Safety  Huainan China","College of Mathematics and Big Data Anhui University of Science and Technology  Huainan China"],"raw_orcid":"https://orcid.org/0000-0001-8531-7215","affiliations":[{"raw_affiliation_string":"Anhui Province Engineering Laboratory for Big Data Analysis and Early Warning Technology of Coal Mine Safety  Huainan China","institution_ids":[]},{"raw_affiliation_string":"College of Mathematics and Big Data Anhui University of Science and Technology  Huainan China","institution_ids":["https://openalex.org/I184681353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067992545","display_name":"Xianwen Fang","orcid":"https://orcid.org/0000-0001-8531-7215"},"institutions":[{"id":"https://openalex.org/I184681353","display_name":"Anhui University of Science and Technology","ror":"https://ror.org/00q9atg80","country_code":"CN","type":"education","lineage":["https://openalex.org/I184681353"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xianwen Fang","raw_affiliation_strings":["Anhui Province Engineering Laboratory for Big Data Analysis and Early Warning Technology of Coal Mine Safety  Huainan China","College of Mathematics and Big Data Anhui University of Science and Technology  Huainan China"],"raw_orcid":"https://orcid.org/0000-0001-8531-7215","affiliations":[{"raw_affiliation_string":"Anhui Province Engineering Laboratory for Big Data Analysis and Early Warning Technology of Coal Mine Safety  Huainan China","institution_ids":[]},{"raw_affiliation_string":"College of Mathematics and Big Data Anhui University of Science and Technology  Huainan China","institution_ids":["https://openalex.org/I184681353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056421788","display_name":"Ke Lu","orcid":"https://orcid.org/0000-0002-0792-2628"},"institutions":[{"id":"https://openalex.org/I184681353","display_name":"Anhui University of Science and Technology","ror":"https://ror.org/00q9atg80","country_code":"CN","type":"education","lineage":["https://openalex.org/I184681353"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Lu","raw_affiliation_strings":["College of Mathematics and Big Data Anhui University of Science and Technology  Huainan China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and Big Data Anhui University of Science and Technology  Huainan China","institution_ids":["https://openalex.org/I184681353"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5067992545","https://openalex.org/A5078711886"],"corresponding_institution_ids":["https://openalex.org/I184681353"],"apc_list":{"value":4740,"currency":"USD","value_usd":4740},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.53080459,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"38","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10703","display_name":"Business Process Modeling and Analysis","score":0.9437000155448914,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10703","display_name":"Business Process Modeling and Analysis","score":0.9437000155448914,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.005400000140070915,"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/T13812","display_name":"AI and HR Technologies","score":0.004600000102072954,"subfield":{"id":"https://openalex.org/subfields/1407","display_name":"Organizational Behavior and Human Resource Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5928999781608582},{"id":"https://openalex.org/keywords/business-process","display_name":"Business process","score":0.5496000051498413},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5350000262260437},{"id":"https://openalex.org/keywords/process-mining","display_name":"Process mining","score":0.4726000130176544},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4542999863624573},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4334000051021576},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4041000008583069},{"id":"https://openalex.org/keywords/process-modeling","display_name":"Process modeling","score":0.36500000953674316}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8899999856948853},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5928999781608582},{"id":"https://openalex.org/C85345410","wikidata":"https://www.wikidata.org/wiki/Q851587","display_name":"Business process","level":3,"score":0.5496000051498413},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5444999933242798},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5350000262260437},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4936000108718872},{"id":"https://openalex.org/C124670913","wikidata":"https://www.wikidata.org/wiki/Q2608526","display_name":"Process mining","level":5,"score":0.4726000130176544},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4542999863624573},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4334000051021576},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4041000008583069},{"id":"https://openalex.org/C76956256","wikidata":"https://www.wikidata.org/wiki/Q27610560","display_name":"Process modeling","level":3,"score":0.36500000953674316},{"id":"https://openalex.org/C93453677","wikidata":"https://www.wikidata.org/wiki/Q1017580","display_name":"Business process discovery","level":5,"score":0.3564000129699707},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30219998955726624},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.3003000020980835},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2870999872684479},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.2768000066280365},{"id":"https://openalex.org/C80309976","wikidata":"https://www.wikidata.org/wiki/Q7007379","display_name":"Business process management","level":4,"score":0.2728999853134155},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.2687000036239624},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.26829999685287476},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.26489999890327454},{"id":"https://openalex.org/C207505557","wikidata":"https://www.wikidata.org/wiki/Q4374012","display_name":"Business process modeling","level":4,"score":0.26350000500679016},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C123606473","wikidata":"https://www.wikidata.org/wiki/Q907918","display_name":"Complex event processing","level":3,"score":0.26030001044273376},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.2578999996185303}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/cpe.70474","is_oa":false,"landing_page_url":"https://doi.org/10.1002/cpe.70474","pdf_url":null,"source":{"id":"https://openalex.org/S11065456","display_name":"Concurrency and Computation Practice and Experience","issn_l":"1532-0626","issn":["1532-0626","1532-0634"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Concurrency and Computation: Practice and Experience","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1651306938","display_name":null,"funder_award_id":"61572035","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2504385539","display_name":null,"funder_award_id":"2023cxcysj084","funder_id":"https://openalex.org/F4320337368","funder_display_name":"Division of Graduate Education"},{"id":"https://openalex.org/G3785638217","display_name":null,"funder_award_id":"2022a05020005","funder_id":"https://openalex.org/F4320336578","funder_display_name":"Anhui Provincial Key Research and Development Plan"},{"id":"https://openalex.org/G6407908171","display_name":null,"funder_award_id":"2308085US11","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"},{"id":"https://openalex.org/G6908654552","display_name":null,"funder_award_id":"61402011","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"},{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null},{"id":"https://openalex.org/F4320336578","display_name":"Anhui Provincial Key Research and Development Plan","ror":null},{"id":"https://openalex.org/F4320337368","display_name":"Division of Graduate Education","ror":"https://ror.org/00whkrf32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2029393109","https://openalex.org/W2283585398","https://openalex.org/W2581522324","https://openalex.org/W2584722588","https://openalex.org/W2746780440","https://openalex.org/W2783973656","https://openalex.org/W2944716568","https://openalex.org/W2963928259","https://openalex.org/W2966756122","https://openalex.org/W2969679574","https://openalex.org/W2969940319","https://openalex.org/W3017239579","https://openalex.org/W3034329572","https://openalex.org/W3083423677","https://openalex.org/W3083653865","https://openalex.org/W3118496513","https://openalex.org/W3120405191","https://openalex.org/W3133048381","https://openalex.org/W3203500186","https://openalex.org/W4207030261","https://openalex.org/W4210494925","https://openalex.org/W4221115074","https://openalex.org/W4321021984","https://openalex.org/W4376125404","https://openalex.org/W4380607179","https://openalex.org/W4387360092","https://openalex.org/W4400843015","https://openalex.org/W4402592511","https://openalex.org/W4402698082","https://openalex.org/W4403420877","https://openalex.org/W4407900304","https://openalex.org/W4409581485"],"related_works":[],"abstract_inverted_index":{"ABSTRACT":[0],"Predictive":[1,80],"process":[2,25,35],"monitoring":[3],"is":[4],"a":[5,79,107,112],"log":[6],"analysis":[7],"technique":[8],"that":[9,153],"combines":[10],"data":[11],"and":[12,33,90,100,120,132],"processes.":[13],"It":[14],"predicts":[15],"the":[16,52,59,66,125,154],"future":[17,143],"behavior":[18],"of":[19,61,68,129,142],"ongoing":[20,70,130],"cases":[21,131],"based":[22,40,85],"on":[23,41,47,65,86,97,147],"historical":[24],"execution":[26],"records,":[27],"thereby":[28],"supporting":[29],"rational":[30],"resource":[31],"allocation":[32],"intelligent":[34],"decision":[36],"making.":[37],"Existing":[38],"methods":[39],"deep":[42],"learning":[43,114],"techniques":[44],"mainly":[45],"rely":[46],"single\u2010case":[48],"trends":[49],"to":[50,105,138],"predict":[51],"next":[53],"activity":[54],"or":[55],"remaining":[56],"time,":[57],"neglecting":[58],"impact":[60],"global":[62,108,117],"structural":[63,126],"context":[64],"prediction":[67,159],"currently":[69],"cases.":[71],"To":[72],"address":[73],"this":[74,76],"limitation,":[75],"paper":[77],"proposes":[78],"Business":[81],"Process":[82],"Monitoring":[83],"framework":[84,95],"Graph":[87],"contrastive":[88,113],"Learning":[89],"Attention":[91],"Mechanism":[92],"(BPMGLAM).":[93],"The":[94],"focuses":[96],"both":[98],"direct":[99],"indirect":[101],"relationships":[102],"between":[103,116],"activities":[104],"construct":[106],"graph":[109],"structure.":[110],"Through":[111],"strategy":[115],"graph\u2010related":[118],"subgraphs":[119],"local":[121],"graphs,":[122],"it":[123],"enhances":[124],"representation":[127],"capability":[128],"integrates":[133],"multi\u2010level":[134],"event":[135,150],"attribute":[136],"information":[137],"generate":[139],"reliable":[140],"predictions":[141],"activities.":[144],"Experiments":[145],"conducted":[146],"multiple":[148],"real\u2010world":[149],"logs":[151],"demonstrate":[152],"proposed":[155],"method":[156],"achieves":[157],"superior":[158],"performance.":[160]},"counts_by_year":[],"updated_date":"2026-05-13T08:25:38.343686","created_date":"2025-12-05T00:00:00"}
