{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T00:32:42Z","timestamp":1730248362406,"version":"3.28.0"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,3,25]],"date-time":"2024-03-25T00:00:00Z","timestamp":1711324800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,3,25]],"date-time":"2024-03-25T00:00:00Z","timestamp":1711324800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001655","name":"German Academic Exchange Service (DAAD)","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001655","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,3,25]]},"DOI":"10.1109\/icit58233.2024.10540699","type":"proceedings-article","created":{"date-parts":[[2024,6,5]],"date-time":"2024-06-05T17:38:41Z","timestamp":1717609121000},"page":"1-7","source":"Crossref","is-referenced-by-count":0,"title":["Model Comparative Analysis of Neighborhood Aggregation Levels in Graph Neural Networks for Metaschedulers"],"prefix":"10.1109","author":[{"given":"Samer","family":"Alshaer","sequence":"first","affiliation":[{"name":"University of Siegen,Department of Embedded Systems,Siegen,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Murali","family":"Piridi","sequence":"additional","affiliation":[{"name":"University of Siegen,Department of Embedded Systems,Siegen,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Roman","family":"Obermaisser","sequence":"additional","affiliation":[{"name":"University of Siegen,Department of Embedded Systems,Siegen,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1109\/ETFA52439.2022.9921580"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1109\/ICSCA57840.2023.10087446"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1016\/j.sysarc.2018.10.001"},{"doi-asserted-by":"publisher","key":"ref4","DOI":"10.1109\/ICTEL.2010.5478877"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1109\/csd.2003.1207697"},{"volume-title":"Scenario-based meta-scheduling for energy-efficient, robust and adaptive time-triggered multi-core architectures","year":"2019","author":"Sorkhpour","key":"ref6"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.3390\/electronics11010049"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1016\/j.aiopen.2021.01.001","article-title":"Graph neural networks: A review of methods and applications","volume":"1","author":"Zhou","year":"2020","journal-title":"AI Open"},{"doi-asserted-by":"publisher","key":"ref9","DOI":"10.2200\/S01045ED1V01Y202009AIM046"},{"volume-title":"Scenario-based meta-scheduling for energy-efficient, robust and adaptive time-triggered multi-core architectures","year":"2019","author":"Sorkhpour","key":"ref10"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.3390\/designs3010007"},{"doi-asserted-by":"publisher","key":"ref12","DOI":"10.1109\/JIOT.2023.3252820"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1155\/2022\/8327451"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.1155\/2019\/7172842"},{"doi-asserted-by":"publisher","key":"ref15","DOI":"10.1016\/j.procs.2019.08.126"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.1145\/3059336.3059352"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.1109\/ICASSP39728.2021.9414098"},{"doi-asserted-by":"publisher","key":"ref18","DOI":"10.1609\/aaai.v34i04.5949"},{"volume-title":"Graph Attention Networks","year":"2017","author":"Velickovic","key":"ref19"},{"volume-title":"Neural machine translation by jointly learning to align and translate","year":"2016","author":"Bahdanau","key":"ref20"},{"key":"ref21","article-title":"Fast graph representation learning with pytorch geometric","volume":"abs\/1903.02428","author":"Fey","year":"2019","journal-title":"CoRR"},{"doi-asserted-by":"publisher","key":"ref22","DOI":"10.1109\/MECO55406.2022.9797075"}],"event":{"name":"2024 IEEE International Conference on Industrial Technology (ICIT)","start":{"date-parts":[[2024,3,25]]},"location":"Bristol, United Kingdom","end":{"date-parts":[[2024,3,27]]}},"container-title":["2024 IEEE International Conference on Industrial Technology (ICIT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10540646\/10540608\/10540699.pdf?arnumber=10540699","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,7]],"date-time":"2024-06-07T04:54:49Z","timestamp":1717736089000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10540699\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,3,25]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/icit58233.2024.10540699","relation":{},"subject":[],"published":{"date-parts":[[2024,3,25]]}}}