{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,20]],"date-time":"2025-05-20T04:08:48Z","timestamp":1747714128539,"version":"3.40.5"},"reference-count":43,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,7,18]],"date-time":"2023-07-18T00:00:00Z","timestamp":1689638400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,7,18]],"date-time":"2023-07-18T00:00:00Z","timestamp":1689638400000},"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":[],"published-print":{"date-parts":[[2023,7,18]]},"DOI":"10.1109\/indin51400.2023.10218172","type":"proceedings-article","created":{"date-parts":[[2023,8,22]],"date-time":"2023-08-22T17:36:36Z","timestamp":1692725796000},"page":"1-8","source":"Crossref","is-referenced-by-count":0,"title":["Graph Neural Network-Based Measurement Inference on Irregular Sensor Geometries"],"prefix":"10.1109","author":[{"given":"Martin Ben","family":"Ahmed","sequence":"first","affiliation":[{"name":"Osnabr&#x00FC;ck University &#x0026; FZ J&#x00FC;lich GmbH,SIS Group &#x0026; IBG-4 Bioinformatics,Aachen,Germany"}]},{"given":"Niklas","family":"Wilming","sequence":"additional","affiliation":[{"name":"ROSEN Technology and Research Center GmbH,Lingen,Germany"}]},{"given":"Martin","family":"Atzmueller","sequence":"additional","affiliation":[{"name":"Osnabr&#x00FC;ck University &#x0026; DFKI,Semantic Information Systems Group,Osnabr&#x00FC;ck,Germany"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3234150"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cosrev.2021.100379"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s41109-021-00438-8"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s41060-022-00349-6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.32473\/flairs.36.133109"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s41109-019-0111-x"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3308560.3320098"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-021-00741-z"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1038\/nbt1386"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-60327-101-1_2"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1017\/9781108891530.013"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1561\/2200000078-3"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3055280"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.aiopen.2021.01.001"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16523"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3211306"},{"key":"ref20","first-page":"28798","article-title":"GraphFormers: GNN-Nested Transformers for Representation Learning on Textual Graph","volume":"34","author":"Yang","year":"2021","journal-title":"Advances in Neural Information Processing Systems"},{"article-title":"GLASS: GNN with Labeling Tricks for Subgraph Representation Learning","volume-title":"Proc. ICLR","author":"Wang","key":"ref21"},{"key":"ref22","article-title":"Diffusion Convolutional Recurrent Neural Network: Data-driven Traffic Forecasting","author":"Li","year":"2017","journal-title":"arXiv preprint arXiv:1707.01926"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.23915\/distill.00033"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00097"},{"key":"ref25","article-title":"Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks","author":"Chen","year":"2020","journal-title":"CoRR"},{"article-title":"Semi-Supervised Classification with Graph Convolutional Networks","volume-title":"Proc. ICLR","author":"Welling","key":"ref26"},{"key":"ref27","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-349-03521-2","volume-title":"Graph Theory with Applications","volume":"290","author":"Bondy","year":"1976"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CANDAR.2013.98"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3390\/s151229845"},{"volume-title":"Hall-Effect Sensors: Theory and Application","year":"2006","author":"Ramsden","key":"ref30"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.ndteint.2009.01.006"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.4103\/0377-2063.53238"},{"article-title":"Graph Attention Networks","volume-title":"Proc. ICLR","author":"Veli\u010dkovi\u0107","key":"ref33"},{"key":"ref34","article-title":"Attention is all you need","volume":"30","author":"Vaswani","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btx252"},{"volume-title":"The NURBS book","year":"1996","author":"Piegl","key":"ref36"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.491"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/361002.361007"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.17148\/IARJSET.2015.2305"},{"key":"ref40","first-page":"1","article-title":"Finite Element Method","author":"Bathe","year":"2007","journal-title":"Wiley encyclopedia of computer science and engineering"},{"key":"ref41","article-title":"Adam: A Method for Stochastic Optimization","author":"Kingma","year":"2014","journal-title":"arXiv preprint arXiv:1412.6980"},{"key":"ref42","first-page":"19620","article-title":"Parameterized Explainer for Graph Neural Network","volume":"33","author":"Luo","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3204236"}],"event":{"name":"2023 IEEE 21st International Conference on Industrial Informatics (INDIN)","start":{"date-parts":[[2023,7,18]]},"location":"Lemgo, Germany","end":{"date-parts":[[2023,7,20]]}},"container-title":["2023 IEEE 21st International Conference on Industrial Informatics (INDIN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10217218\/10217836\/10218172.pdf?arnumber=10218172","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,19]],"date-time":"2025-05-19T17:48:14Z","timestamp":1747676894000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10218172\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,18]]},"references-count":43,"URL":"https:\/\/doi.org\/10.1109\/indin51400.2023.10218172","relation":{},"subject":[],"published":{"date-parts":[[2023,7,18]]}}}