{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T21:23:00Z","timestamp":1792185780690,"version":"4.4.0"},"reference-count":41,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2024,1]]},"DOI":"10.1109\/tkde.2023.3286017","type":"journal-article","created":{"date-parts":[[2023,6,14]],"date-time":"2023-06-14T13:24:48Z","timestamp":1686749088000},"page":"137-151","source":"Crossref","is-referenced-by-count":48,"title":["Embedding Graph Convolutional Networks in Recurrent Neural Networks for Predictive Monitoring"],"prefix":"10.1109","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0338-4586","authenticated-orcid":false,"given":"Efr\u00e9n","family":"Rama-Maneiro","sequence":"first","affiliation":[{"name":"Centro Singular de Investigaci&#x00F3;n en Tecnolox&#x00ED;as Intelixentes (CiTIUS), Universidade de Santiago de Compostela, Santiago de Compostela, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8682-6772","authenticated-orcid":false,"given":"Juan C.","family":"Vidal","sequence":"additional","affiliation":[{"name":"Centro Singular de Investigaci&#x00F3;n en Tecnolox&#x00ED;as Intelixentes (CiTIUS), Universidade de Santiago de Compostela, Santiago de Compostela, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7195-6155","authenticated-orcid":false,"given":"Manuel","family":"Lama","sequence":"additional","affiliation":[{"name":"Centro Singular de Investigaci&#x00F3;n en Tecnolox&#x00ED;as Intelixentes (CiTIUS), Universidade de Santiago de Compostela, Santiago de Compostela, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-28108-2_19"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-07881-6_31"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s10270-020-00789-3"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/tsc.2021.3139807"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CBI.2017.46"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s12599-018-0551-3"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58666-9_14"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-35166-3_25"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICPM.2019.00028"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-30278-8_40"},{"key":"ref11","article-title":"Memory-augmented neural networks for predictive process analytics","author":"Khan","year":"2018"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2021.113494"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2017.04.003"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-59536-8_30"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-26619-6_19"},{"key":"ref16","article-title":"Processtransformer: Predictive business process monitoring with transformer network","author":"Bukhsh","year":"2021"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.04.052"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2937085"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN52387.2021.9533742"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-94343-1_3"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2019.12.189"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1038\/nature20101"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/edoc49727.2020.00030"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref25","first-page":"933","article-title":"Language modeling with gated convolutional networks","volume-title":"Proc. 34th Int. Conf. Mach. Learn.","author":"Dauphin"},{"key":"ref26","first-page":"1","article-title":"Frustratingly short attention spans in neural language modeling","volume-title":"Proc. 5th Int. Conf. Learn. Representations","author":"Daniluk"},{"key":"ref27","first-page":"2672","article-title":"Generative adversarial nets","volume-title":"Proc. Adv. Neural Inf. Process. Syst. Annu. Conf. Neural Inf. Process. Syst.","author":"Goodfellow"},{"key":"ref28","first-page":"5998","article-title":"Attention is all you need","volume-title":"Proc. 30th Annu. Conf. Neural Inf. Process. Syst.","author":"Vaswani"},{"key":"ref29","volume-title":"BPI Challenge 2012","author":"van Dongen","year":"2012"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-51259-4"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-65306-6_15"},{"key":"ref32","first-page":"1","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"Proc. 5th Int. Conf. Learn. Representations","author":"Kipf"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93417-4_38"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2020.3033962"},{"key":"ref35","first-page":"1","article-title":"How powerful are graph neural networks?","volume-title":"Proc. 7th Int. Conf. Learn. Representations","author":"Xu"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-018-1214-x"},{"key":"ref37","article-title":"Process mining for python (PM4Py): Bridging the gap between process- and data science","author":"Berti","year":"2019"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3205651.3205658"},{"key":"ref39","first-page":"77:1","article-title":"Time for a change: A tutorial for comparing multiple classifiers through Bayesian analysis","volume":"18","author":"Benavoli","year":"2017","journal-title":"J. Mach. Learn. Res."},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.32614\/RJ-2016-017"},{"issue":"1","key":"ref41","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"Srivastava","year":"2014","journal-title":"J. Mach. Learn. Res."}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/10348031\/10152483.pdf?arnumber=10152483","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,6]],"date-time":"2024-05-06T13:45:43Z","timestamp":1715003143000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10152483\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1]]},"references-count":41,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2023.3286017","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"value":"1041-4347","type":"print"},{"value":"1558-2191","type":"electronic"},{"value":"2326-3865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1]]}}}