{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T21:17:02Z","timestamp":1774473422487,"version":"3.50.1"},"reference-count":68,"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":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62201588"],"award-info":[{"award-number":["62201588"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natural Science Foundation of Hunan","award":["2024JJ10007"],"award-info":[{"award-number":["2024JJ10007"]}]}],"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.2026.3663887","type":"journal-article","created":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T20:57:02Z","timestamp":1770843422000},"page":"341-356","source":"Crossref","is-referenced-by-count":0,"title":["GAF-MLGNN: An Efficient Meta-Learning Framework for Few-Shot HRRP RATR With GNN"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-2690-9407","authenticated-orcid":false,"given":"Lingfeng","family":"Chen","sequence":"first","affiliation":[{"name":"College of Electronic Science and Technology, National University of Defense Technology, Changsha, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5895-3152","authenticated-orcid":false,"given":"Panhe","family":"Hu","sequence":"additional","affiliation":[{"name":"College of Electronic Science and Technology, National University of Defense Technology, Changsha, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1196-3510","authenticated-orcid":false,"given":"Qi","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Electronic Science and Technology, National University of Defense Technology, Changsha, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1233-1494","authenticated-orcid":false,"given":"Zhen","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Electronic Science and Technology, National University of Defense Technology, Changsha, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2957939"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2930112"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2692386"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2022.3178234"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2025.3534140"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2022.108558"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS46834.2022.9884621"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2024.3353718"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3087186"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1186\/s13634-019-0603-y"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICSIP55141.2022.9886234"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICSIDP47821.2019.9173212"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.113994"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2986027"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICSIP52628.2021.9688842"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.23919\/JSEE.2020.000087"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/icsip55141.2022.9887225"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2019.2925472"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2019.2905281"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2010.5495353"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2015.12.006"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.phycom.2014.04.007"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1049\/cp.2009.0106"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLC.2005.1527719"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICUS52573.2021.9641179"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICSPCC55723.2022.9984385"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3204439"},{"key":"ref28","article-title":"Learning to learn: Meta-critic networks for sample efficient learning","author":"Sung","year":"2017"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1126\/science.aab3050"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1023\/A:1019956318069"},{"key":"ref31","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Finn","year":"2017"},{"key":"ref32","article-title":"Meta learning with differentiable closed-form solvers","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Bertinetto","year":"2019"},{"key":"ref33","article-title":"Meta-learning with latent embedding optimization","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Rusu","year":"2019"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3312125"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.5555\/3294996.3295163"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00743"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00131"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018642"},{"key":"ref39","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kipf","year":"2017"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2693418"},{"key":"ref41","first-page":"6861","article-title":"Simplifying graph convolutional networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Wu","year":"2019"},{"key":"ref42","first-page":"1024","article-title":"Inductive representation learning on large graphs","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Haminton","year":"2017"},{"key":"ref43","article-title":"Few-shot learning with graph neural networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Garcia","year":"2018"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00010"},{"key":"ref45","first-page":"2224","article-title":"Convolutional networks on graphs for learning molecular fingerprints","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Duvenaud","year":"2015"},{"key":"ref46","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"Yang","year":"2015","journal-title":"Nature"},{"key":"ref47","first-page":"1263","article-title":"Neural message passing for quantum chemistry","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Glimer","year":"2017"},{"key":"ref48","first-page":"3630","article-title":"Matching network for one shot learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Vinyals","year":"2016"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/s10822-016-9938-8"},{"key":"ref50","article-title":"Empirical evaluation of rectified activations in convolutional neural network","author":"Xu","year":"2015"},{"key":"ref51","first-page":"719","article-title":"TADAM: Task dependent adaptive metric for improved fewshot learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Oreshkin","year":"2018"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2005.1555942"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1017\/9781009025096.003"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1145\/3446776"},{"key":"ref55","article-title":"A study on overfitting in deep reinforcement learning","author":"Zhang","year":"2018"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2008.2005605"},{"key":"ref57","article-title":"Gated graph sequence neural networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Li","year":"2016"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1606.09375"},{"key":"ref59","article-title":"Spectral networks and locally connected networks on graphs","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Bruna","year":"2014"},{"key":"ref60","article-title":"Deep convolutional networks on graph-structured data","author":"Henaff","year":"2015"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/Radar53847.2021.10027966"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS52108.2023.10282950"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2021.3085671"},{"key":"ref64","article-title":"Optimization as a model for few-shot learning","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Ravi","year":"2017"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2024.3464565"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2024.109876"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2025.3573273"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1137\/16M1080173"}],"container-title":["IEEE Transactions on Signal and Information Processing over Networks"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6884276\/11330181\/11393636.pdf?arnumber=11393636","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T19:58:11Z","timestamp":1774468691000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11393636\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":68,"URL":"https:\/\/doi.org\/10.1109\/tsipn.2026.3663887","relation":{},"ISSN":["2373-776X","2373-7778"],"issn-type":[{"value":"2373-776X","type":"electronic"},{"value":"2373-7778","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}