{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,15]],"date-time":"2024-09-15T21:17:35Z","timestamp":1726435055372},"reference-count":21,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"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":["61761042"],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Research and Development Program of Yanan","award":["2017KG-01","2017WZZ-04-01"]},{"name":"Rector of the Silesian University of Technology, Gliwice, Poland","award":["09\/010\/RGJ22\/0068"]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Ind. Inf."],"published-print":{"date-parts":[[2023,3]]},"DOI":"10.1109\/tii.2022.3156658","type":"journal-article","created":{"date-parts":[[2022,3,7]],"date-time":"2022-03-07T15:51:35Z","timestamp":1646668295000},"page":"2385-2394","source":"Crossref","is-referenced-by-count":36,"title":["Denoising Aggregation of Graph Neural Networks by Using Principal Component Analysis"],"prefix":"10.1109","volume":"19","author":[{"ORCID":"http:\/\/orcid.org\/0000-0003-0263-3584","authenticated-orcid":false,"given":"Wei","family":"Dong","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Northwestern Polytechnical University, Xi’an, China"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-9073-5347","authenticated-orcid":false,"given":"Marcin","family":"Wo\u017aniak","sequence":"additional","affiliation":[{"name":"Faculty of Applied Mathematics, Silesian University of Technology, Gliwice, Poland"}]},{"ORCID":"http:\/\/orcid.org\/0000-0003-3974-5838","authenticated-orcid":false,"given":"Junsheng","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Software, Northwestern Polytechnical University, Xi’an, China"}]},{"ORCID":"http:\/\/orcid.org\/0000-0001-8290-2275","authenticated-orcid":false,"given":"Weigang","family":"Li","sequence":"additional","affiliation":[{"name":"School of Software, Northwestern Polytechnical University, Xi’an, China"}]},{"ORCID":"http:\/\/orcid.org\/0000-0001-8795-4373","authenticated-orcid":false,"given":"Zongwen","family":"Bai","sequence":"additional","affiliation":[{"name":"Shaanxi Key Laboratory of Intelligent Processing of Big Energy Data, School of Physics and Electronic Information, Yanan University, Yan’an, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.2986316"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2947066"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3009280"},{"key":"ref5","article-title":"Improving neural networks by preventing co-adaptation of feature detectors","author":"Hinton","year":"2012"},{"key":"ref6","article-title":"Revisiting graph neural networks: All we have is low-pass filters","author":"Nt","year":"2019"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-4016-7"},{"key":"ref8","first-page":"6861","article-title":"Simplifying graph convolutional networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Wu","year":"2019"},{"key":"ref9","first-page":"1","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kipf","year":"2017"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330925"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00220"},{"key":"ref12","first-page":"1025","article-title":"Inductive representation learning on large graphs","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Hamilton","year":"2017"},{"key":"ref13","first-page":"1","article-title":"FastGCN: Fast learning with graph convolutional networks via importance sampling","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Chen","year":"2018"},{"key":"ref14","first-page":"942","article-title":"Stochastic training of graph convolutional networks with variance reduction","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Chen","year":"2018"},{"key":"ref15","first-page":"1","article-title":"Graph attention networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Velikovi","year":"2019"},{"key":"ref16","first-page":"1","article-title":"How powerful are graph neural networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Xu","year":"2019"},{"key":"ref17","volume-title":"Applied Statistics and Probability for Engineers","author":"Montgomery","year":"2018"},{"key":"ref18","first-page":"1","article-title":"Deep gaussian embedding of attributed graphs: Unsupervised inductive learning via ranking","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Bojchevski","year":"2018"},{"key":"ref19","article-title":"Pitfalls of graph neural network evaluation","author":"Shchur","year":"2018"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-017-2012-0_7"},{"key":"ref21","first-page":"1","article-title":"Predict then propagate: Graph neural networks meet personalized PageRank","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Klicpera","year":"2018"}],"container-title":["IEEE Transactions on Industrial Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9424\/10064202\/09729514.pdf?arnumber=9729514","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,17]],"date-time":"2024-01-17T18:35:48Z","timestamp":1705516548000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9729514\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3]]},"references-count":21,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tii.2022.3156658","relation":{},"ISSN":["1551-3203","1941-0050"],"issn-type":[{"value":"1551-3203","type":"print"},{"value":"1941-0050","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,3]]}}}