{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,17]],"date-time":"2026-05-17T09:58:37Z","timestamp":1779011917223,"version":"3.51.4"},"reference-count":53,"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:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62303221"],"award-info":[{"award-number":["62303221"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62333011"],"award-info":[{"award-number":["62333011"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["NS2024020"],"award-info":[{"award-number":["NS2024020"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Netw. Sci. Eng."],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/tnse.2025.3582388","type":"journal-article","created":{"date-parts":[[2025,6,23]],"date-time":"2025-06-23T13:28:58Z","timestamp":1750685338000},"page":"179-193","source":"Crossref","is-referenced-by-count":6,"title":["Resilient Time Synchronisation for Aerial Swarms by Distributed Graph Neural Networks"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5196-8025","authenticated-orcid":false,"given":"Yan","family":"Zong","sequence":"first","affiliation":[{"name":"College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8078-0582","authenticated-orcid":false,"given":"Lejun","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7780-1127","authenticated-orcid":false,"given":"Pep","family":"Canyelles-Pericas","sequence":"additional","affiliation":[{"name":"Department of Robotics and Mechatronics, Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9964-7677","authenticated-orcid":false,"given":"Ningyun","family":"Lu","sequence":"additional","affiliation":[{"name":"College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2696-5436","authenticated-orcid":false,"given":"Bin","family":"Jiang","sequence":"additional","affiliation":[{"name":"College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.adhoc.2012.12.004"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.adhoc.2023.103326"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s43154-022-00090-9"},{"key":"ref4","first-page":"111","article-title":"Graph neural networks for distributed linear-quadratic control","volume-title":"Proc. 3rd Conf. Learn. Dyn. Control","author":"Gama","year":"2021"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2017.1700323"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2022.3159185"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3182326"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3144199"},{"key":"ref9","first-page":"1","article-title":"Transferability of spectral graph convolutional neural networks","volume":"22","author":"Levie","year":"2021","journal-title":"J. Mach. Learn. Res."},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/icra46639.2022.9811744"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CAC59555.2023.10451191"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3229214"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3390\/drones8070285"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2019.2960344"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2018.2799595"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TCST.2017.2692720"},{"key":"ref17","first-page":"1","article-title":"How powerful are graph neural networks?","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Xu","year":"2019"},{"key":"ref18","first-page":"6861","article-title":"Simplifying graph convolutional networks","volume-title":"Proc. 36th Int. Conf. Mach. Learn.","author":"Wu","year":"2019"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"ref20","first-page":"3844","article-title":"Convolutional neural networks on graphs with fast localised spectral filtering","volume-title":"Proc. 30th Int. Conf. Neural Inf","author":"Defferrard","year":"2016"},{"key":"ref21","first-page":"23341","article-title":"How powerful are spectral graph neural networks","volume-title":"Proc. 39th Int. Conf. Mach. Learn.","author":"Wang","year":"2022"},{"key":"ref22","first-page":"1","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"Proc. 5th Int. Conf. Learn. Representations","author":"Kipf","year":"2017"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TSIPN.2015.2429471"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2016.7472541"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0708838104"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/267"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2023.04.005"},{"key":"ref28","first-page":"5722","article-title":"GREAD: Graph neural reaction-diffusion networks","volume-title":"Proc. 40th Int. Conf. Mach. Learn.","author":"Choi","year":"2023"},{"key":"ref29","first-page":"23321","article-title":"Adaptive diffusion in graph neural networks","volume-title":"Proc. 35th Conf. Neural Inf. Process. Syst.","author":"Zhao","year":"2021"},{"key":"ref30","first-page":"1","article-title":"Graph attention networks","volume-title":"Proc. 6th Int. Conf. Learn. Representations","author":"Velickovic","year":"2018"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2022.3166401"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3077863"},{"key":"ref33","article-title":"Asynchronous perception-action-communication with graph neural networks","author":"Agarwal","year":"2023"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.arcontrol.2022.01.004"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.23919\/MIKON.2018.8405189"},{"key":"ref36","first-page":"47","article-title":"Reactive jamming in wireless networkshow realistic is the threat?","volume-title":"Proc. 4th ACM Conf. Wireless Netw. Secur.","author":"Wilhelm","year":"2011"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3395351.3399367"},{"key":"ref38","first-page":"5388","article-title":"Interpretable stability bounds for spectral graph filters","volume-title":"Proc. 38th Int. Conf. Mach. Learn.","author":"Kenlay","year":"2021"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2023.3297848"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3447556.3447566"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-16-6054-2_8"},{"key":"ref42","first-page":"58088","article-title":"Adversarial training for graph neural networks: Pitfalls, solutions, and new directions","volume-title":"Proc. 37th Conf. Neural Inf. Process. Syst.","author":"Gosch","year":"2023"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2011.2113120"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1088\/0026-1394\/45\/6\/S23"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TUFFC.2005.1406554"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2018.2820126"},{"key":"ref47","first-page":"671","article-title":"Learning decentralised controllers for robot swarms with graph neural networks","volume-title":"Proc. Conf. Robot Learn.","author":"Tolstaya","year":"2020"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2235192"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2014.2329213"},{"key":"ref50","article-title":"A framework for real-world multi-robot systems running decentralised GNN-based policies","year":"2025"},{"key":"ref51","first-page":"599","article-title":"Breaking the limits of message passing graph neural networks","volume-title":"Proc. 38th Int. Conf. Mach. Learn.","author":"Balcilar","year":"2021"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2021.3055400"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2006.887293"}],"container-title":["IEEE Transactions on Network Science and Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6488902\/11264281\/11048512.pdf?arnumber=11048512","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,22]],"date-time":"2025-11-22T05:38:14Z","timestamp":1763789894000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11048512\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":53,"URL":"https:\/\/doi.org\/10.1109\/tnse.2025.3582388","relation":{},"ISSN":["2327-4697","2334-329X"],"issn-type":[{"value":"2327-4697","type":"electronic"},{"value":"2334-329X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}