{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T16:49:13Z","timestamp":1783702153284,"version":"3.55.0"},"reference-count":61,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"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":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2024,6]]},"DOI":"10.1109\/tnnls.2022.3202569","type":"journal-article","created":{"date-parts":[[2022,9,13]],"date-time":"2022-09-13T19:38:17Z","timestamp":1663097897000},"page":"7312-7323","source":"Crossref","is-referenced-by-count":125,"title":["GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-Resolved EEG Motor Imagery Signals"],"prefix":"10.1109","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9198-2462","authenticated-orcid":false,"given":"Yimin","family":"Hou","sequence":"first","affiliation":[{"name":"School of Automation Engineering, Northeast Electric Power University, Jilin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1184-5933","authenticated-orcid":false,"given":"Shuyue","family":"Jia","sequence":"additional","affiliation":[{"name":"School of Automation Engineering, Northeast Electric Power University, Jilin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiangmin","family":"Lun","sequence":"additional","affiliation":[{"name":"School of Automation Engineering, Northeast Electric Power University, Jilin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4286-2771","authenticated-orcid":false,"given":"Ziqian","family":"Hao","sequence":"additional","affiliation":[{"name":"Jinan Vocational College, Jinan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5722-8204","authenticated-orcid":false,"given":"Yan","family":"Shi","sequence":"additional","affiliation":[{"name":"School of Automation Engineering, Northeast Electric Power University, Jilin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6515-4567","authenticated-orcid":false,"given":"Yang","family":"Li","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Northeast Electric Power University, Jilin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rui","family":"Zeng","sequence":"additional","affiliation":[{"name":"School of Biomedical Engineering and Brain and Mind Center, University of Sydney, Sydney, NSW, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4906-2646","authenticated-orcid":false,"given":"Jinglei","family":"Lv","sequence":"additional","affiliation":[{"name":"School of Biomedical Engineering and Brain and Mind Center, University of Sydney, Sydney, NSW, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/nature04968"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1152\/jn.01316.2004"},{"key":"ref3","volume-title":"Niedermeyer\u2019s Electroencephalography Basic Principles, Clinical Applications, and Related Fields: Basic Principles, Clinical Applications, and Related Fields","author":"Schomer","year":"2017"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-45333-6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1023\/A:1023437823106"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICOIN.2018.8343254"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1038\/nn.4502"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2014.2369495"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66182-7_44"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2017.10.067"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2015.2402283"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2015.2467312"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2008.919125"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2019.2913914"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2022.3174251"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.sna.2022.113824"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/aace8c"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2018.04.005"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/ab4af6"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2019.06.027"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.08.031"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2019.2899645"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.23730"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3390\/s19204541"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2941867"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/ab3471"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2934018"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3390\/e22010096"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1161\/01.CTR.101.23.e215"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2905157"},{"key":"ref32","first-page":"1","volume-title":"BCI competition 2008-Graz data set A","volume":"16","author":"Brunner","year":"2008"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2012.00055"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.3389\/fbioe.2021.706229"},{"key":"ref35","first-page":"3844","article-title":"Convolutional neural networks on graphs with fast localized spectral filtering","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"29","author":"Defferrard"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2019.2937768"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2927768"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2018.2817622"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM.2018.8621147"},{"key":"ref40","article-title":"Attention-based graph ResNet for motor intent detection from raw EEG signals","author":"Jia","year":"2020","journal-title":"arXiv:2007.13484"},{"key":"ref41","first-page":"1024","article-title":"Inductive representation learning on large graphs","volume-title":"Proc. Adv. Neural. Inf. Process. Syst.","volume":"30","author":"Hamilton"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.576"},{"key":"ref43","first-page":"2014","article-title":"Learning convolutional neural networks for graphs","volume-title":"Proc. 33rd Int. Conf. Mach. Learn. (ICML)","volume":"48","author":"Niepert"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219947"},{"key":"ref45","first-page":"1","article-title":"Spectral networks and locally connected networks on graphs","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Bruna"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2235192"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TAMD.2015.2431497"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.12.002"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2017.00103"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.acha.2010.04.005"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.1115"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/34.868688"},{"key":"ref54","first-page":"1","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Kingma"},{"issue":"1","key":"ref55","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"Srivastava","year":"2014","journal-title":"J. Mach. Learn. Res."},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.5555\/3045118.3045167"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2015.7280459"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1177\/001316446002000104"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2018.2884641"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2018.8512590"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2019.2915621"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/10547160\/09889159.pdf?arnumber=9889159","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,11]],"date-time":"2024-12-11T01:49:59Z","timestamp":1733881799000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9889159\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6]]},"references-count":61,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2022.3202569","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,6]]}}}