{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T07:58:57Z","timestamp":1763193537930,"version":"3.45.0"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"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":[[2025,6,30]]},"DOI":"10.1109\/ijcnn64981.2025.11228368","type":"proceedings-article","created":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T18:46:15Z","timestamp":1763145975000},"page":"1-8","source":"Crossref","is-referenced-by-count":0,"title":["Bidirectional Cross-Attention Spatio-Temporal Transformer for Traffic Flow Prediction"],"prefix":"10.1109","author":[{"given":"Xiangfu","family":"Meng","sequence":"first","affiliation":[{"name":"Liaoning Technical University,School of Electronic and Information Engineering,Huludao,China"}]},{"given":"Yongjie","family":"Xu","sequence":"additional","affiliation":[{"name":"Liaoning Technical University,School of Electronic and Information Engineering,Huludao,China"}]},{"given":"Xue","family":"Weng","sequence":"additional","affiliation":[{"name":"Liaoning Technical University,School of Electronic and Information Engineering,Huludao,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.47852\/bonviewJCCE2202245"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/electronics12041020"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3234512"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/sym15030583"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3390\/ijgi12030100"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3333824"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)0733-947X(2003)129:6(664)"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/0-387-32348-1_11"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-019-04339-x"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2022.06.090"},{"article-title":"Spatio-temporal graph neural networks: A survey","year":"2023","author":"Sahili","key":"ref11"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3443141"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/505"},{"article-title":"Diffusion convolutional recurrent neural network: Data-driven traffic forecasting","year":"2017","author":"Li","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/264"},{"key":"ref16","first-page":"17 804","article-title":"Adaptive graph convolutional recurrent network for traffic forecasting","volume":"33","author":"Bai","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403118"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i7.25976"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2024.3349565"},{"key":"ref20","article-title":"Attention is all you need","author":"Vaswani","year":"2017","journal-title":"Advances in Neural Information Processing Systems"},{"article-title":"Bert: Pre-training of deep bidirectional transformers for language understanding","year":"2018","author":"Devlin","key":"ref21"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3056502"},{"article-title":"Spatial-temporal transformer networks for traffic flow forecasting","year":"2020","author":"Xu","key":"ref23"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5477"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i4.25556"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5438"}],"event":{"name":"2025 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2025,6,30]]},"location":"Rome, Italy","end":{"date-parts":[[2025,7,5]]}},"container-title":["2025 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11227166\/11227148\/11228368.pdf?arnumber=11228368","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T07:56:08Z","timestamp":1763193368000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11228368\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,30]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/ijcnn64981.2025.11228368","relation":{},"subject":[],"published":{"date-parts":[[2025,6,30]]}}}