{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,22]],"date-time":"2026-08-22T15:33:53Z","timestamp":1787412833810,"version":"build-2736575974"},"reference-count":49,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100010663","name":"European Research Council (ERC) under the European Union\u2019s Horizon 2020 Research and Innovation Program","doi-asserted-by":"publisher","award":["725731"],"award-info":[{"award-number":["725731"]}],"id":[{"id":"10.13039\/100010663","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Wireless Commun."],"published-print":{"date-parts":[[2023,1]]},"DOI":"10.1109\/twc.2022.3195352","type":"journal-article","created":{"date-parts":[[2022,8,8]],"date-time":"2022-08-08T19:54:53Z","timestamp":1659988493000},"page":"457-470","source":"Crossref","is-referenced-by-count":32,"title":["Modular Meta-Learning for Power Control via Random Edge Graph Neural Networks"],"prefix":"10.1109","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0100-9344","authenticated-orcid":false,"given":"Ivana","family":"Nikoloska","sequence":"first","affiliation":[{"name":"Department of Engineering, King’s Communications, Learning and Information Processing Laboratory (KCLIP), CTR, King’s College London, London, U.K"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9898-3209","authenticated-orcid":false,"given":"Osvaldo","family":"Simeone","sequence":"additional","affiliation":[{"name":"Department of Engineering, King’s Communications, Learning and Information Processing Laboratory (KCLIP), CTR, King’s College London, London, U.K"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2013.56"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/GLOCOM.2015.7417761"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.2017.1600114"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1080\/02533839.2017.1419075"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2018.2881442"},{"key":"ref6","first-page":"1","article-title":"Covariate shift: A review and analysis on classifiers","volume-title":"Proc. Global Conf. Advancement Technol. (GCAT)","author":"Nair"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/9780262170055.001.0001"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1561\/9781601981370"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2020.2988255"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9054124"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/SPAWC48557.2020.9154336"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/twc.2021.3071480"},{"key":"ref13","article-title":"Evolutionary principles in self-referential learning, or on learning how to learn: The meta-meta-\u2026 hook","author":"Schmidhuber","year":"1987"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-5529-2_8"},{"key":"ref15","first-page":"2113","article-title":"Gradient-based hyperparameter optimization through reversible learning","volume-title":"Proc. Int. Conf. Mach. Learn. (PMLR)","author":"Maclaurin"},{"key":"ref16","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","volume-title":"Proc. 34th Int. Conf. Mach. Learn.","author":"Finn"},{"key":"ref17","article-title":"On first-order meta-learning algorithms","author":"Nichol","year":"2018","journal-title":"arXiv:1803.02999"},{"key":"ref18","article-title":"Recasting gradient-based meta-learning as hierarchical Bayes","author":"Grant","year":"2018","journal-title":"arXiv:1801.08930"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.21236\/ad0616323"},{"key":"ref20","volume-title":"Humboldt: \u2018On Language\u2019: On the Diversity of Human Language Construction and Its Influence on the Mental Development of the Human Species","author":"Von Humboldt","year":"1999"},{"key":"ref21","first-page":"856","article-title":"Modular meta-learning","volume-title":"Proc. Int. Conf. Mach. Learn. (PMLR)","author":"Alet"},{"key":"ref22","first-page":"856","article-title":"Modular meta-learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","author":"Alet"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-32834-3_9"},{"key":"ref24","article-title":"The concrete distribution: A continuous relaxation of discrete random variables","author":"Maddison","year":"2016","journal-title":"arXiv:1611.00712"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2018.2866382"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2019.2957482"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/SECON48991.2020.9158437"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/WCSP49889.2020.9299774"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3040983"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/icc42927.2021.9500697"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9414520"},{"key":"ref32","article-title":"A DRL-based multiagent cooperative control framework for CAV networks: A graphic convolution Q network","author":"Dong","year":"2020","journal-title":"arXiv:2010.05437"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/tmc.2021.3125793"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/OJCOMS.2021.3128637"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2020.3043879"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/SPAWC.2019.8815537"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2019.8761319"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3035843"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/6GSUMMIT49458.2020.9083856"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/SPAWC51858.2021.9593131"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2011.03.001"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2015.2480774"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/SPAWC.2019.8815526"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2013.2238935"},{"key":"ref45","volume-title":"Statistical Theory of Extreme Values and Some Practical Applications: A Series of Lectures","volume":"33","author":"Gumbel","year":"1954"},{"key":"ref46","article-title":"On the partition function and random maximum A-Posteriori perturbations","author":"Hazan","year":"2012","journal-title":"arXiv:1206.6410"},{"key":"ref47","article-title":"A* sampling","author":"Maddison","year":"2014","journal-title":"arXiv:1411.0030"},{"key":"ref48","article-title":"Categorical reparameterization with Gumbel-Softmax","author":"Jang","year":"2016","journal-title":"arXiv:1611.01144"},{"key":"ref49","first-page":"3519","article-title":"Similarity of neural network representations revisited","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Kornblith"}],"container-title":["IEEE Transactions on Wireless Communications"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7693\/10008384\/09852158.pdf?arnumber=9852158","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T03:47:31Z","timestamp":1710388051000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9852158\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1]]},"references-count":49,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/twc.2022.3195352","relation":{},"ISSN":["1536-1276","1558-2248"],"issn-type":[{"value":"1536-1276","type":"print"},{"value":"1558-2248","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,1]]}}}