{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:51:58Z","timestamp":1740102718416,"version":"3.37.3"},"reference-count":17,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,12,4]],"date-time":"2023-12-04T00:00:00Z","timestamp":1701648000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,12,4]],"date-time":"2023-12-04T00:00:00Z","timestamp":1701648000000},"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":["62176088"],"award-info":[{"award-number":["62176088"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100014103","name":"Key Science and Technology Research Project of Henan Province of China","doi-asserted-by":"publisher","award":["22102210067,222102210022"],"award-info":[{"award-number":["22102210067,222102210022"]}],"id":[{"id":"10.13039\/100014103","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003009","name":"Science & Technology Development of Henan Province","doi-asserted-by":"publisher","award":["212102210412,202102310198"],"award-info":[{"award-number":["212102210412,202102310198"]}],"id":[{"id":"10.13039\/501100003009","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,12,4]]},"DOI":"10.1109\/globecom54140.2023.10437927","type":"proceedings-article","created":{"date-parts":[[2024,2,26]],"date-time":"2024-02-26T19:45:36Z","timestamp":1708976736000},"page":"4528-4533","source":"Crossref","is-referenced-by-count":0,"title":["Knowledge Representation-Actuated Based Spatio-Temporal Graph Neural Network Traffic Flow Prediction"],"prefix":"10.1109","author":[{"given":"Yihan","family":"Liu","sequence":"first","affiliation":[{"name":"School of Artificial Intelligence, Henan University,Zhengzhou,China"}]},{"given":"Nianwen","family":"Ning","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Henan University,Zhengzhou,China"}]},{"given":"Ning","family":"Lu","sequence":"additional","affiliation":[{"name":"Queen&#x0027;s University,Department of Electrical and Computer Engineering,Canada"}]},{"given":"Yi","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Henan University,Zhengzhou,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3233801"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.dcan.2021.09.007"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3150080"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3070843"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3510829"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-020-02043-1"},{"key":"ref8","article-title":"how do urban incidents affect traffic speed?\u2019 A deep graph convolutional network for incident-driven traffic speed prediction","author":"Xie","year":"2019","journal-title":"arXiv Prepr."},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3136287"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2015.2483592"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v29i1.9491"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s41870-021-00852-2"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2013.2247040"},{"key":"ref14","article-title":"Diffusion convolutional recurrent neural network: Data-driven traffic forecasting","author":"Li","year":"2017","journal-title":"arXiv Prepr."},{"key":"ref15","article-title":"Spatio-temporal graph convolutional networks: A deep learning framework for traffic forecasting","author":"Yu","year":"2017","journal-title":"arXiv Prepr."},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5438"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2022.103659"}],"event":{"name":"GLOBECOM 2023 - 2023 IEEE Global Communications Conference","start":{"date-parts":[[2023,12,4]]},"location":"Kuala Lumpur, Malaysia","end":{"date-parts":[[2023,12,8]]}},"container-title":["GLOBECOM 2023 - 2023 IEEE Global Communications Conference"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10436708\/10436716\/10437927.pdf?arnumber=10437927","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T17:38:38Z","timestamp":1729705118000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10437927\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,4]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/globecom54140.2023.10437927","relation":{},"subject":[],"published":{"date-parts":[[2023,12,4]]}}}