{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,17]],"date-time":"2026-02-17T22:20:28Z","timestamp":1771366828309,"version":"3.50.1"},"reference-count":39,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"16","license":[{"start":{"date-parts":[[2025,8,15]],"date-time":"2025-08-15T00:00:00Z","timestamp":1755216000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,8,15]],"date-time":"2025-08-15T00:00:00Z","timestamp":1755216000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,8,15]],"date-time":"2025-08-15T00:00:00Z","timestamp":1755216000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100013114","name":"National Key Research and Development Program","doi-asserted-by":"publisher","award":["2022YFB2403600"],"award-info":[{"award-number":["2022YFB2403600"]}],"id":[{"id":"10.13039\/501100013114","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52077172"],"award-info":[{"award-number":["52077172"]}],"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":["U22B20121"],"award-info":[{"award-number":["U22B20121"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012270","name":"Shaanxi Province \u201cSanqin Scholars\u201d Innovation Team Project","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012270","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Internet Things J."],"published-print":{"date-parts":[[2025,8,15]]},"DOI":"10.1109\/jiot.2025.3577265","type":"journal-article","created":{"date-parts":[[2025,6,6]],"date-time":"2025-06-06T13:43:20Z","timestamp":1749217400000},"page":"34321-34334","source":"Crossref","is-referenced-by-count":1,"title":["A Physics-Aware Graph Network for Geometry Online Monitoring in Smart Manufacturing"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3223-7232","authenticated-orcid":false,"given":"Lin","family":"Chen","sequence":"first","affiliation":[{"name":"State Key Laboratory of Electrical Insulation and Power Equipment, School of Electric Engineering, Xi’an Jiaotong University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0717-7074","authenticated-orcid":false,"given":"Fei","family":"Yang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Electrical Insulation and Power Equipment, School of Electric Engineering, Xi’an Jiaotong University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhaowei","family":"Diao","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Electrical Insulation and Power Equipment, School of Electric Engineering, Xi’an Jiaotong University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haichen","family":"Li","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Electrical Insulation and Power Equipment, School of Electric Engineering, Xi’an Jiaotong University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Yang","sequence":"additional","affiliation":[{"name":"Transmission and Transformation Technology Center, State Grid Anhui Electric Power Company Limited Research Institute, Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weiping","family":"Guan","sequence":"additional","affiliation":[{"name":"Transmission and Transformation Technology Center, State Grid Anhui Electric Power Company Limited Research Institute, Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3977-6298","authenticated-orcid":false,"given":"Mingzhe","family":"Rong","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Electrical Insulation and Power Equipment, School of Electric Engineering, Xi’an Jiaotong University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-021-08436-x"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2023.3264624"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2021.3139827"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s12666-022-02823-y"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s12008-023-01326-4"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2020.08.008"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-012-0682-1"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.4271\/2023-28-0145"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3390\/app14051972"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.rineng.2021.100330"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-021-08588-w"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-023-02171-8"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmapro.2022.02.053"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-022-06749-x"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2023.110828"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/tim.2021.3136264"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2024.09.022"},{"key":"ref18","first-page":"1025","article-title":"Inductive representation learning on large graphs","volume-title":"Proc. 31st Annu. Conf. Neural Inf. Process. Syst. (NIPS)","author":"Hamilton"},{"key":"ref19","first-page":"1","article-title":"How powerful are graph neural networks?","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Xu"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/msp.2012.2235192"},{"key":"ref21","first-page":"1","article-title":"DFNets: Spectral CNNs for graphs with feedback-looped filters","volume-title":"Proc. 33rd Conf. Neural Inf. Process. Syst. (NeurIPS)","volume":"32","author":"Wijesinghe"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2021.3054830"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2023.103912"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2023.09.001"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-024-05757-8"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2023.110819"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.tsep.2024.102983"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.acha.2010.04.005"},{"key":"ref29","article-title":"Spectral networks and locally connected networks on graphs","author":"Bruna","year":"2013","journal-title":"arXiv:1312.6203"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/tsipn.2018.2824239"},{"key":"ref31","article-title":"Learning structural node embeddings via diffusion wavelets","author":"Donnat","year":"2017","journal-title":"arXiv:1710.10321"},{"key":"ref32","article-title":"Semi-supervised classification with graph convolutional networks","author":"Kipf","year":"2017","journal-title":"arXiv:1609.02907"},{"key":"ref33","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":"ref34","first-page":"14239","article-title":"BernNet: Learning arbitrary graph spectral filters via Bernstein approximation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"He"},{"key":"ref35","first-page":"1","article-title":"Graph attention networks","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Velikovi"},{"key":"ref36","first-page":"1","article-title":"Convolutional LSTM network: A machine learning approach for precipitation nowcasting","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"28","author":"Shi"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2021.107878"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2024.123419"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.3390\/jmmp7030097"}],"container-title":["IEEE Internet of Things Journal"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6488907\/11121332\/11027606.pdf?arnumber=11027606","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,17]],"date-time":"2026-02-17T21:09:51Z","timestamp":1771362591000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11027606\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,15]]},"references-count":39,"journal-issue":{"issue":"16"},"URL":"https:\/\/doi.org\/10.1109\/jiot.2025.3577265","relation":{},"ISSN":["2327-4662","2372-2541"],"issn-type":[{"value":"2327-4662","type":"electronic"},{"value":"2372-2541","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,8,15]]}}}