{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T16:11:01Z","timestamp":1770739861102,"version":"3.49.0"},"reference-count":32,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"SNSF Sinergia Project"},{"name":"PEDESITE: Personalized Detection of Epileptic Seizure in the Internet of Things (IoT) Era","award":["CRSII5 193813"],"award-info":[{"award-number":["CRSII5 193813"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Signal and Inf. Process. over Networks"],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/tsipn.2026.3653623","type":"journal-article","created":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T21:00:15Z","timestamp":1768338015000},"page":"152-162","source":"Crossref","is-referenced-by-count":0,"title":["Graph-Dictionary Signal Model for Sparse Representation of Multivariate Data"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9558-4517","authenticated-orcid":false,"given":"William","family":"Cappelletti","sequence":"first","affiliation":[{"name":"LTS4, EPFL, Lausanne, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4010-714X","authenticated-orcid":false,"given":"Pascal","family":"Frossard","sequence":"additional","affiliation":[{"name":"LTS4, EPFL, Lausanne, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2010.2040551"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2018.2887284"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2018.2890143"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1090\/S0002-9939-1951-0045941-1"},{"key":"ref5","first-page":"10564","article-title":"Online graph dictionary learning","volume-title":"Proc. 38th Int. Conf. Mach. Learn.","author":"Vincent-Cuaz","year":"2021"},{"key":"ref6","first-page":"1","article-title":"Robust graph dictionary learning","volume-title":"Proc. 11th Int. Conf. Learn. Representations","author":"Liu","year":"2023"},{"key":"ref7","first-page":"40749","article-title":"Generative graph dictionary learning","volume-title":"Proc. 40th Int. Conf. Mach. Learn.","author":"Zeng","year":"2023"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP48485.2024.10447234"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/GlobalSIP.2013.6736921"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TSIPN.2025.3527888"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ACSSC.2018.8645150"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TSIPN.2020.2983139"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2019.2936665"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1017\/9781108552349"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2013.2238935"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s10957-012-0245-9"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1561\/9781601987174"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2017.2726975"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ACSSC.2016.7869621"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.laa.2018.03.018"},{"key":"ref21","first-page":"920","article-title":"How to learn a graph from smooth signals","volume-title":"Proc. Int. Conf. Artif. Intell. Statist.","author":"Kalofolias","year":"2016"},{"issue":"76","key":"ref22","first-page":"1","article-title":"Joint inference of multiple graphs from matrix polynomials","volume":"23","author":"Navarro","year":"2022","journal-title":"J. Mach. Learn. Res."},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.5555\/1953048.2078195"},{"key":"ref24","first-page":"1","article-title":"Large scale graph learning from smooth signals","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kalofolias","year":"2019"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952672"},{"key":"ref26","article-title":"Time-varying graph learning with constraints on graph temporal variation","author":"Yamada","year":"2020"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3120994"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2017.11.062"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2019.116454"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2022.119037"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2004.827072"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2013.00267"}],"container-title":["IEEE Transactions on Signal and Information Processing over Networks"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6884276\/11330181\/11347566.pdf?arnumber=11347566","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,9]],"date-time":"2026-02-09T21:09:12Z","timestamp":1770671352000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11347566\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/tsipn.2026.3653623","relation":{},"ISSN":["2373-776X","2373-7778"],"issn-type":[{"value":"2373-776X","type":"electronic"},{"value":"2373-7778","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}