{"id":"https://openalex.org/W3036646401","doi":"https://doi.org/10.1080/12460125.2020.1780780","title":"Explainable predictive business process monitoring using gated graph neural networks","display_name":"Explainable predictive business process monitoring using gated graph neural networks","publication_year":2020,"publication_date":"2020-06-23","ids":{"openalex":"https://openalex.org/W3036646401","doi":"https://doi.org/10.1080/12460125.2020.1780780","mag":"3036646401"},"language":"en","primary_location":{"id":"doi:10.1080/12460125.2020.1780780","is_oa":false,"landing_page_url":"https://doi.org/10.1080/12460125.2020.1780780","pdf_url":null,"source":{"id":"https://openalex.org/S119153320","display_name":"Journal of Decision System","issn_l":"1246-0125","issn":["1246-0125","2116-7052"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Decision Systems","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/A5022794867","display_name":"Maximilian Harl","orcid":"https://orcid.org/0000-0001-7522-5296"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Maximilian Harl","raw_affiliation_strings":["Institute of Information Systems, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Nuremberg, Germany"],"raw_orcid":"https://orcid.org/0000-0001-7522-5296","affiliations":[{"raw_affiliation_string":"Institute of Information Systems, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Nuremberg, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057780661","display_name":"Sven Weinzierl","orcid":"https://orcid.org/0000-0003-2268-7352"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Sven Weinzierl","raw_affiliation_strings":["Institute of Information Systems, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Nuremberg, Germany"],"raw_orcid":"https://orcid.org/0000-0003-2268-7352","affiliations":[{"raw_affiliation_string":"Institute of Information Systems, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Nuremberg, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076877841","display_name":"Matthias Stierle","orcid":"https://orcid.org/0000-0001-5938-1125"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mathias Stierle","raw_affiliation_strings":["Institute of Information Systems, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Nuremberg, Germany"],"raw_orcid":"https://orcid.org/0000-0001-5938-1125","affiliations":[{"raw_affiliation_string":"Institute of Information Systems, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Nuremberg, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067830118","display_name":"Martin Matzner","orcid":"https://orcid.org/0000-0001-5244-3928"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin Matzner","raw_affiliation_strings":["Institute of Information Systems, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Nuremberg, Germany"],"raw_orcid":"https://orcid.org/0000-0001-5244-3928","affiliations":[{"raw_affiliation_string":"Institute of Information Systems, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Nuremberg, Germany","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5057780661"],"corresponding_institution_ids":["https://openalex.org/I181369854"],"apc_list":null,"apc_paid":null,"fwci":11.678,"has_fulltext":false,"cited_by_count":81,"citation_normalized_percentile":{"value":0.98560527,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"29","issue":"sup1","first_page":"312","last_page":"327"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10703","display_name":"Business Process Modeling and Analysis","score":0.9983000159263611,"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":0.9983000159263611,"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":0.9905999898910522,"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/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9847000241279602,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8287994861602783},{"id":"https://openalex.org/keywords/process-mining","display_name":"Process mining","score":0.7239400148391724},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6623595952987671},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.563077449798584},{"id":"https://openalex.org/keywords/business-process","display_name":"Business process","score":0.5247043371200562},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5065404176712036},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49867916107177734},{"id":"https://openalex.org/keywords/process-modeling","display_name":"Process modeling","score":0.4940944015979767},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4913462698459625},{"id":"https://openalex.org/keywords/business-process-discovery","display_name":"Business process discovery","score":0.44515591859817505},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4262252748012543},{"id":"https://openalex.org/keywords/work-in-process","display_name":"Work in process","score":0.4102995693683624},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3976576328277588},{"id":"https://openalex.org/keywords/business-process-management","display_name":"Business process management","score":0.387429803609848},{"id":"https://openalex.org/keywords/business-process-modeling","display_name":"Business process modeling","score":0.36454182863235474},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.09598195552825928}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8287994861602783},{"id":"https://openalex.org/C124670913","wikidata":"https://www.wikidata.org/wiki/Q2608526","display_name":"Process mining","level":5,"score":0.7239400148391724},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6623595952987671},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.563077449798584},{"id":"https://openalex.org/C85345410","wikidata":"https://www.wikidata.org/wiki/Q851587","display_name":"Business process","level":3,"score":0.5247043371200562},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5065404176712036},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49867916107177734},{"id":"https://openalex.org/C76956256","wikidata":"https://www.wikidata.org/wiki/Q27610560","display_name":"Process modeling","level":3,"score":0.4940944015979767},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4913462698459625},{"id":"https://openalex.org/C93453677","wikidata":"https://www.wikidata.org/wiki/Q1017580","display_name":"Business process discovery","level":5,"score":0.44515591859817505},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4262252748012543},{"id":"https://openalex.org/C174998907","wikidata":"https://www.wikidata.org/wiki/Q357662","display_name":"Work in process","level":2,"score":0.4102995693683624},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3976576328277588},{"id":"https://openalex.org/C80309976","wikidata":"https://www.wikidata.org/wiki/Q7007379","display_name":"Business process management","level":4,"score":0.387429803609848},{"id":"https://openalex.org/C207505557","wikidata":"https://www.wikidata.org/wiki/Q4374012","display_name":"Business process modeling","level":4,"score":0.36454182863235474},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.09598195552825928},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/12460125.2020.1780780","is_oa":false,"landing_page_url":"https://doi.org/10.1080/12460125.2020.1780780","pdf_url":null,"source":{"id":"https://openalex.org/S119153320","display_name":"Journal of Decision System","issn_l":"1246-0125","issn":["1246-0125","2116-7052"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Decision Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1129193082","https://openalex.org/W1276866904","https://openalex.org/W1484547669","https://openalex.org/W1541456620","https://openalex.org/W1555665520","https://openalex.org/W1846981065","https://openalex.org/W1985994881","https://openalex.org/W2039648693","https://openalex.org/W2101457992","https://openalex.org/W2116341502","https://openalex.org/W2123231294","https://openalex.org/W2139630871","https://openalex.org/W2149679759","https://openalex.org/W2164330572","https://openalex.org/W2166146136","https://openalex.org/W2166546927","https://openalex.org/W2293966185","https://openalex.org/W2432159926","https://openalex.org/W2501271607","https://openalex.org/W2581522324","https://openalex.org/W2584722588","https://openalex.org/W2763172566","https://openalex.org/W2767387808","https://openalex.org/W2800540752","https://openalex.org/W2802691149","https://openalex.org/W2807461027","https://openalex.org/W2891503716","https://openalex.org/W2919115771","https://openalex.org/W2926322826","https://openalex.org/W2938114616","https://openalex.org/W2947085401","https://openalex.org/W2949476234","https://openalex.org/W2955766236","https://openalex.org/W2963674330","https://openalex.org/W2970863184","https://openalex.org/W2986328919","https://openalex.org/W2988410656","https://openalex.org/W2996061341","https://openalex.org/W3122821379","https://openalex.org/W3151685851","https://openalex.org/W4243932450","https://openalex.org/W4301118033","https://openalex.org/W6929022432"],"related_works":["https://openalex.org/W2150478723","https://openalex.org/W4365511202","https://openalex.org/W4300560926","https://openalex.org/W2996377510","https://openalex.org/W3184122949","https://openalex.org/W2473542839","https://openalex.org/W88310037","https://openalex.org/W2734067265","https://openalex.org/W2294791746","https://openalex.org/W1611051793"],"abstract_inverted_index":{"Predictive":[0],"business":[1],"process":[2,18,33,36,84,111,143],"monitoring":[3],"(PBPM)":[4],"is":[5,92,117],"a":[6,16,66,93,97,110,142],"class":[7],"of":[8,15,23,89],"techniques":[9,47],"designed":[10],"to":[11,52,63,74,78,120,127,138,147],"forecast":[12],"future":[13],"behaviour":[14],"running":[17],"instance":[19],"or":[20],"the":[21,71,105,113,118],"value":[22],"process-related":[24],"metrics":[25],"like":[26],"times":[27],"and":[28,35,132],"frequencies.":[29],"PBPM":[30,43],"systems":[31,44],"support":[32],"workers":[34],"managers":[37],"in":[38,109],"making":[39],"operational":[40],"decisions.":[41],"State-of-the-art":[42],"apply":[45],"deep-learning":[46],"with":[48],"multiple":[49],"hidden":[50],"layers":[51],"infer":[53],"from":[54],"data":[55,145],"which":[56],"makes":[57,96],"it":[58],"difficult":[59],"for":[60],"system":[61],"users":[62],"understand":[64],"why":[65],"prediction":[67,98],"was":[68],"made.":[69],"However,":[70],"user":[72],"needs":[73],"see":[75],"deeper":[76],"causes":[77],"identify":[79],"intervention":[80],"mechanisms":[81],"that":[82,95],"secure":[83],"performance.":[85],"The":[86],"main":[87],"contribution":[88],"this":[90],"paper":[91],"technique":[94],"more":[99,130],"explainable":[100],"by":[101],"visualising":[102],"how":[103],"much":[104],"different":[106],"activities":[107],"included":[108],"impacted":[112],"prediction.":[114],"This":[115],"work":[116],"first":[119,136],"use":[121,141],"gated":[122],"graph":[123],"neural":[124],"networks":[125],"(GGNNs)":[126],"make":[128],"decisions":[129],"explainable,":[131],"it\u2019s":[133],"also":[134],"GGNN\u2019s":[135],"application":[137],"PBPM.":[139],"We":[140],"event":[144],"set":[146],"demonstrate":[148],"our":[149],"approach.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
