{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T14:23:13Z","timestamp":1766067793873,"version":"3.37.3"},"reference-count":33,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,18]],"date-time":"2023-06-18T00:00:00Z","timestamp":1687046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,18]],"date-time":"2023-06-18T00:00:00Z","timestamp":1687046400000},"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":["61976247"],"award-info":[{"award-number":["61976247"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6,18]]},"DOI":"10.1109\/ijcnn54540.2023.10191212","type":"proceedings-article","created":{"date-parts":[[2023,8,2]],"date-time":"2023-08-02T17:30:03Z","timestamp":1690997403000},"page":"1-8","source":"Crossref","is-referenced-by-count":4,"title":["Diffusion Graph Neural Ordinary Differential Equation Network for Traffic Prediction"],"prefix":"10.1109","author":[{"given":"Ni","family":"Xiong","sequence":"first","affiliation":[{"name":"School of Computing and Artificial Intelligence Southwest Jiaotong University Engineering Research Center of Sustainable Urban Intel. Trans. Ministry of Education,Chengdu,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yan","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Computing and Artificial Intelligence Southwest Jiaotong University Engineering Research Center of Sustainable Urban Intel. Trans. Ministry of Education,Chengdu,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongquan","family":"Jiang","sequence":"additional","affiliation":[{"name":"School of Computing and Artificial Intelligence Southwest Jiaotong University,Chengdu,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaocao","family":"Ouyang","sequence":"additional","affiliation":[{"name":"School of Computing and Artificial Intelligence Southwest Jiaotong University,Chengdu,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","first-page":"22","article-title":"Short-term traffic and travel time prediction models","volume":"22","author":"hans","year":"2012","journal-title":"Artificial Intelligence Applications to Critical Transportation Issues"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1186\/s40649-019-0069-y"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1179"},{"key":"ref14","article-title":"The nature of statistical learning theory","author":"vapnik","year":"1999","journal-title":"Springer Science & Business Media"},{"key":"ref31","first-page":"1684","article-title":"Z-GCNETs: Time zigzags at graph convolutional networks for time series forecasting","author":"chen","year":"0","journal-title":"Proceedings of the 38th International Conference on Machine Learning"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16542"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/505"},{"key":"ref33","article-title":"Spatial-Temporal Interactive Dynamic Graph Convolution Network for Traffic Forecasting","author":"liu","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref10","first-page":"1","article-title":"Diffusion convolutional recurrent neural network: Data-driven traffic forecasting","author":"li","year":"0","journal-title":"Proceedings of the International Conference on Learning Representations"},{"key":"ref32","first-page":"11906","article-title":"DSTAGNN: Dynamic spatial-temporal aware graph neural network for traffic flow forecasting","author":"lan","year":"0","journal-title":"Proceedings of the 39th International Conference on Machine Learning"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.2307\/2284333"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.2307\/j.ctv14jx6sm"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11836"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5438"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/264"},{"key":"ref24","first-page":"2721","article-title":"The infinite contextual graph markov model","author":"castellana","year":"0","journal-title":"Proceedings of the 39th International Conference on Machine Learning"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2008.2010350"},{"key":"ref26","first-page":"6572","article-title":"Neural Ordinary Differential Equations","author":"chen","year":"0","journal-title":"Proceedings of the 32Nd International Conference on Neural Information Processing Systems"},{"key":"ref25","first-page":"2001","article-title":"Diffusion-convolutional neural networks","author":"atwood","year":"0","journal-title":"Proceedings of the 30th International Conference on Neural Information Processing Systems"},{"key":"ref20","first-page":"3844","article-title":"Convolutional neural networks on graphs with fast localized spectral filtering","volume":"29","author":"defferrard","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref22","first-page":"1","article-title":"Semi-Supervised Classification with Graph Convolutional Networks","author":"kipf","year":"0","journal-title":"Proceedings of the 5th International Conference on Learning Representations"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2018.2879624"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467430"},{"key":"ref27","first-page":"10432","article-title":"Continuous graph neural networks","author":"xhonneux","year":"0","journal-title":"Proceedings of the 37th International Conference on Machine Learning"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i6.20587"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/2996913.2997016"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3084827"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10735"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2013.2267735"},{"key":"ref3","first-page":"155","article-title":"Support vector regression machines","volume":"9","author":"drucker","year":"1996","journal-title":"Advances in neural information processing systems"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.113"},{"key":"ref5","first-page":"64","article-title":"Recurrent neural networks","volume":"5","author":"medesker","year":"2001","journal-title":"Design and Applications"}],"event":{"name":"2023 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2023,6,18]]},"location":"Gold Coast, Australia","end":{"date-parts":[[2023,6,23]]}},"container-title":["2023 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10190990\/10190992\/10191212.pdf?arnumber=10191212","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,21]],"date-time":"2023-08-21T17:43:03Z","timestamp":1692639783000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10191212\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,18]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/ijcnn54540.2023.10191212","relation":{},"subject":[],"published":{"date-parts":[[2023,6,18]]}}}