{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T15:09:44Z","timestamp":1771686584978,"version":"3.50.1"},"reference-count":41,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"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":[],"published-print":{"date-parts":[[2024,6,30]]},"DOI":"10.1109\/ijcnn60899.2024.10650117","type":"proceedings-article","created":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T17:35:05Z","timestamp":1725903305000},"page":"1-8","source":"Crossref","is-referenced-by-count":1,"title":["MUGI-MRI: Enhancing Breast Cancer Classification through Multiplex Graph Neural Networks in DCE-MRI"],"prefix":"10.1109","author":[{"given":"Francesco","family":"Ceccarelli","sequence":"first","affiliation":[{"name":"University of Cambridge,Department of Computer Science and Technology,Cambridge,United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Francesco","family":"Prinzi","sequence":"additional","affiliation":[{"name":"University of Palermo,Neuroscience and Advanced Diagnostics,Department of Biomedicine,Palermo,Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pietro","family":"Li\u00f2","sequence":"additional","affiliation":[{"name":"University of Cambridge,Department of Computer Science and Technology,Cambridge,United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Salvatore","family":"Vitabile","sequence":"additional","affiliation":[{"name":"University of Palermo,Neuroscience and Advanced Diagnostics,Department of Biomedicine,Palermo,Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sean B.","family":"Holden","sequence":"additional","affiliation":[{"name":"University of Cambridge,Department of Computer Science and Technology,Cambridge,United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21660"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/s41523-021-00247-3"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.10176"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.2214\/AJR.09.2483"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.35711\/aimi.v1.i1.6"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.26732"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.26981"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1038\/s41523-017-0045-3"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.27098"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.acra.2021.08.024"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1148\/RADIOL.2015151169\/ASSET\/IMAGES\/LARGE\/RADIOL.2015151169.FIG7.JPEG"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2008.2005605"},{"key":"ref14","first-page":"1263","article-title":"Neural message passing for quantum chemistry","volume-title":"International conference on machine learning","author":"Gilmer"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-021-03819-2"},{"key":"ref16","first-page":"8459","article-title":"Learning to simulate complex physics with graph networks","volume-title":"International conference on machine learning","author":"Sanchez-Gonzalez"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1038\/nrclinonc.2017.141"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1186\/s41747-022-00294-w"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2024.123557"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1126\/science.290.5500.2319"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-24801-6_11"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2023.107255"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3389\/fonc.2022.943415"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-7657-3_19"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2020191145"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1158\/0008-5472.CAN-17-0339"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2017.11.024"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-023-10118-7"},{"key":"ref29","article-title":"Semi-supervised classification with graph convolutional networks","author":"Kipf","year":"2016"},{"issue":"20","key":"ref30","first-page":"10","article-title":"Graph attention networks","volume":"1050","author":"Velickovic","year":"2017","journal-title":"stat"},{"key":"ref31","article-title":"Inductive representation learning on large graphs","volume":"30","author":"Hamilton","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref32","first-page":"2625","article-title":"Weisfeiler and lehman go cellular: Cw networks","volume":"34","author":"Bodnar","year":"2021","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref33","article-title":"How powerful are graph neural networks?","author":"Xu","year":"2018"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3263079"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref36","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014"},{"key":"ref37","article-title":"Deep sets","volume":"30","author":"Zaheer","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.35711\/aimi.v1.i1.6"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.radi.2022.01.006"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1111\/1759-7714.14187"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1177\/0284185115597265"}],"event":{"name":"2024 International Joint Conference on Neural Networks (IJCNN)","location":"Yokohama, Japan","start":{"date-parts":[[2024,6,30]]},"end":{"date-parts":[[2024,7,5]]}},"container-title":["2024 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10649807\/10649898\/10650117.pdf?arnumber=10650117","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T05:00:19Z","timestamp":1725944419000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10650117\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,30]]},"references-count":41,"URL":"https:\/\/doi.org\/10.1109\/ijcnn60899.2024.10650117","relation":{},"subject":[],"published":{"date-parts":[[2024,6,30]]}}}