{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T16:44:35Z","timestamp":1778604275290,"version":"3.51.4"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"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":[[2024,6,30]]},"DOI":"10.1109\/ijcnn60899.2024.10650397","type":"proceedings-article","created":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T17:35:05Z","timestamp":1725903305000},"page":"1-9","source":"Crossref","is-referenced-by-count":2,"title":["Flow-Aware Scheduling with Graph Neural Network Routing for Resource Efficiency in Time-Sensitive Networking"],"prefix":"10.1109","author":[{"given":"Xinyi","family":"Hong","sequence":"first","affiliation":[{"name":"Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China,310027"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuhao","family":"Xi","sequence":"additional","affiliation":[{"name":"Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China,310027"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peng","family":"Liu","sequence":"additional","affiliation":[{"name":"Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China,310027"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","volume-title":"IEC\/IEEE 60802 Standard for Time-Sensitive Networking Profile for Industrial Automation","year":"2018"},{"key":"ref2","volume-title":"Enhancements for Scheduled Traffic","year":"2016"},{"key":"ref3","article-title":"Cyclic Queuing and Forwarding","year":"2015","journal-title":"IEEE Std. 802.1Qch"},{"key":"ref4","article-title":"Forwarding and Queuing Enhancements for Time-Sensitive Streams","year":"2009","journal-title":"IEEE Std. 802.1Qav"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3143829"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2021.3113039"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2997465.2997487"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2020.107739"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2022.3198171"},{"key":"ref10","first-page":"183","article-title":"Scheduling Real-Time Communication in IEEE 802.1 Qbv Time Sensitive Networks","volume-title":"Proc. of the RTNS","author":"Craciunas"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2950887"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM41043.2020.9155434"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC51071.2022.9771665"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM53939.2023.10228875"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3188826"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM48880.2022.9796967"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICPS48405.2020.9274702"},{"key":"ref18","first-page":"1263","article-title":"Neural Message Passing for Quantum Chemistry","volume-title":"Proc. of ACM ICML","author":"Gilmer"},{"key":"ref19","article-title":"Playing Atari with Deep Reinforcement Learning","author":"Mnih","year":"2013","journal-title":"Computer Science"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/IWQoS54832.2022.9812898"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3400302.3415715"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.jii.2023.100464"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3534879.3534885"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3206815"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2022.109516"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2023.3235446"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2023.3235719"}],"event":{"name":"2024 International Joint Conference on Neural Networks (IJCNN)","location":"Yokohama, Japan","start":{"date-parts":[[2024,6,30]]},"end":{"date-parts":[[2024,7,5]]}},"container-title":["2024 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10649807\/10649898\/10650397.pdf?arnumber=10650397","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T05:29:25Z","timestamp":1725946165000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10650397\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,30]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/ijcnn60899.2024.10650397","relation":{},"subject":[],"published":{"date-parts":[[2024,6,30]]}}}