{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T15:07:07Z","timestamp":1779376027632,"version":"3.53.1"},"publisher-location":"New York, NY, USA","reference-count":24,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,8,20]],"date-time":"2020-08-20T00:00:00Z","timestamp":1597881600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,8,23]]},"DOI":"10.1145\/3394486.3403358","type":"proceedings-article","created":{"date-parts":[[2020,8,20]],"date-time":"2020-08-20T23:03:59Z","timestamp":1597964639000},"page":"3074-3082","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":95,"title":["Hybrid Spatio-Temporal Graph Convolutional Network"],"prefix":"10.1145","author":[{"given":"Rui","family":"Dai","sequence":"first","affiliation":[{"name":"Alibaba Group, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shenkun","family":"Xu","sequence":"additional","affiliation":[{"name":"Alibaba Group, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qian","family":"Gu","sequence":"additional","affiliation":[{"name":"Alibaba Group, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chenguang","family":"Ji","sequence":"additional","affiliation":[{"name":"Alibaba Group, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kaikui","family":"Liu","sequence":"additional","affiliation":[{"name":"Alibaba Group, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2020,8,20]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Algorithm engineering","author":"Bast Hannah","unstructured":"Hannah Bast , Daniel Delling , Andrew Goldberg , Matthias M\u00fcller-Hannemann , Thomas Pajor , Peter Sanders , Dorothea Wagner , and Renato F Werneck . 2016. Route planning in transportation networks . In Algorithm engineering . Springer , 19--80. Hannah Bast, Daniel Delling, Andrew Goldberg, Matthias M\u00fcller-Hannemann, Thomas Pajor, Peter Sanders, Dorothea Wagner, and Renato F Werneck. 2016. Route planning in transportation networks. In Algorithm engineering. Springer, 19--80."},{"key":"e_1_3_2_1_2_1","volume-title":"DACCORD Short Term Forecasting Workshop","author":"Ben-Akiva Moshe","year":"1998","unstructured":"Moshe Ben-Akiva , Michel Bierlaire , Haris Koutsopoulos , and Rabi Mishalani . 1998 . DynaMIT: A simulation-based system for traffic prediction . In DACCORD Short Term Forecasting Workshop . Delft, The Netherlands, 1--12. Moshe Ben-Akiva, Michel Bierlaire, Haris Koutsopoulos, and Rabi Mishalani. 1998. DynaMIT: A simulation-based system for traffic prediction. In DACCORD Short Term Forecasting Workshop. Delft, The Netherlands, 1--12."},{"key":"e_1_3_2_1_3_1","volume-title":"Proceedings of the 2nd International Conference on Learning Representations (ICLR).","author":"Bruna Joan","year":"2014","unstructured":"Joan Bruna , Wojciech Zaremba , Arthur Szlam , and Yann Lecun . 2014 . Spectral networks and locally connected networks on graphs . In Proceedings of the 2nd International Conference on Learning Representations (ICLR). Joan Bruna, Wojciech Zaremba, Arthur Szlam, and Yann Lecun. 2014. Spectral networks and locally connected networks on graphs. In Proceedings of the 2nd International Conference on Learning Representations (ICLR)."},{"key":"e_1_3_2_1_5_1","volume-title":"Proceedings of the 4th International Conference on Learning Representations (ICLR).","author":"Clevert Djork-Arn\u00e9","year":"2016","unstructured":"Djork-Arn\u00e9 Clevert , Thomas Unterthiner , and Sepp Hochreiter . 2016 . Fast and accurate deep network learning by exponential linear units (ELUs) . In Proceedings of the 4th International Conference on Learning Representations (ICLR). Djork-Arn\u00e9 Clevert, Thomas Unterthiner, and Sepp Hochreiter. 2016. Fast and accurate deep network learning by exponential linear units (ELUs). In Proceedings of the 4th International Conference on Learning Representations (ICLR)."},{"key":"e_1_3_2_1_7_1","unstructured":"Micha\u00ebl Defferrard Xavier Bresson and Pierre Vandergheynst. 2016. Convolutional neural networks on graphs with fast localized spectral filtering. In Advances in neural information processing systems. 3844--3852.  Micha\u00ebl Defferrard Xavier Bresson and Pierre Vandergheynst. 2016. Convolutional neural networks on graphs with fast localized spectral filtering. In Advances in neural information processing systems. 3844--3852."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/317"},{"key":"e_1_3_2_1_9_1","volume-title":"Deep learning","author":"Goodfellow Ian","unstructured":"Ian Goodfellow , Yoshua Bengio , Aaron Courville , and Yoshua Bengio . 2016. Deep learning . Vol. 1 . MIT press Cambridge . Ian Goodfellow, Yoshua Bengio, Aaron Courville, and Yoshua Bengio. 2016. Deep learning. Vol. 1. MIT press Cambridge."},{"key":"e_1_3_2_1_10_1","volume-title":"Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI). 1387--1393","author":"He Jingrui","year":"2013","unstructured":"Jingrui He , Wei Shen , Phani Divakaruni , Laura Wynter , and Rick Lawrence . 2013 . Improving traffic prediction with tweet semantics . In Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI). 1387--1393 . Jingrui He, Wei Shen, Phani Divakaruni, Laura Wynter, and Rick Lawrence. 2013. Improving traffic prediction with tweet semantics. In Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI). 1387--1393."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1177\/095965180121500402"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1137\/S1064827595287997"},{"key":"e_1_3_2_1_13_1","volume-title":"Proceedings of the 3rd International Conference on Learning Representations (ICLR).","author":"Kingma Diederik P","year":"2015","unstructured":"Diederik P Kingma and Jimmy Ba . 2015 . Adam: A method for stochastic optimization . In Proceedings of the 3rd International Conference on Learning Representations (ICLR). Diederik P Kingma and Jimmy Ba. 2015. Adam: A method for stochastic optimization. In Proceedings of the 3rd International Conference on Learning Representations (ICLR)."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2016.2585575"},{"key":"e_1_3_2_1_15_1","volume-title":"Proceedings of the 6th International Conference on Learning Representations (ICLR).","author":"Li Yaguang","year":"2018","unstructured":"Yaguang Li , Rose Yu , Cyrus Shahabi , and Yan Liu . 2018 . Diffusion convolutional recurrent neural network: Data-driven traffic forecasting . In Proceedings of the 6th International Conference on Learning Representations (ICLR). Yaguang Li, Rose Yu, Cyrus Shahabi, and Yan Liu. 2018. Diffusion convolutional recurrent neural network: Data-driven traffic forecasting. In Proceedings of the 6th International Conference on Learning Representations (ICLR)."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219895"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/1653771.1653820"},{"key":"e_1_3_2_1_18_1","first-page":"865","article-title":"Traffic flow prediction with big data: A deep learning approach","volume":"16","author":"Lv Yisheng","year":"2015","unstructured":"Yisheng Lv , Yanjie Duan , Wenwen Kang , Zhengxi Li , Fei-Yue Wang , 2015 . Traffic flow prediction with big data: A deep learning approach . IEEE Trans. Intelligent Transportation Systems , Vol. 16 , 2 (2015), 865 -- 873 . Yisheng Lv, Yanjie Duan, Wenwen Kang, Zhengxi Li, Fei-Yue Wang, et almbox. 2015. Traffic flow prediction with big data: A deep learning approach. IEEE Trans. Intelligent Transportation Systems, Vol. 16, 2 (2015), 865--873.","journal-title":"IEEE Trans. Intelligent Transportation Systems"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/SSP.2011.5967651"},{"key":"e_1_3_2_1_20_1","first-page":"58","article-title":"The problem of concept drift: definitions and related work","volume":"106","author":"Tsymbal Alexey","year":"2004","unstructured":"Alexey Tsymbal . 2004 . The problem of concept drift: definitions and related work . Computer Science Department, Trinity College Dublin , Vol. 106 , 2 (2004), 58 . Alexey Tsymbal. 2004. The problem of concept drift: definitions and related work. Computer Science Department, Trinity College Dublin, Vol. 106, 2 (2004), 58.","journal-title":"Computer Science Department, Trinity College Dublin"},{"key":"e_1_3_2_1_21_1","volume-title":"Engineering and Applied Sciences Optimization","author":"Vlahogianni Eleni I","unstructured":"Eleni I Vlahogianni . 2015. Computational intelligence and optimization for transportation big data: challenges and opportunities . In Engineering and Applied Sciences Optimization . Springer , 107--128. Eleni I Vlahogianni. 2015. Computational intelligence and optimization for transportation big data: challenges and opportunities. In Engineering and Applied Sciences Optimization. Springer, 107--128."},{"key":"e_1_3_2_1_22_1","volume-title":"A tutorial on spectral clustering. Statistics and computing","author":"Luxburg Ulrike Von","year":"2007","unstructured":"Ulrike Von Luxburg . 2007. A tutorial on spectral clustering. Statistics and computing , Vol. 17 , 4 ( 2007 ), 395--416. Ulrike Von Luxburg. 2007. A tutorial on spectral clustering. Statistics and computing, Vol. 17, 4 (2007), 395--416."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220096"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/505"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2011.2158001"},{"key":"e_1_3_2_1_26_1","volume-title":"DeepSTD: Mining spatio-temporal disturbances of multiple context factors for citywide traffic flow prediction","author":"Zheng Chuanpan","year":"2019","unstructured":"Chuanpan Zheng , Xiaoliang Fan , Chenglu Wen , Longbiao Chen , Cheng Wang , and Jonathan Li. 2019. DeepSTD: Mining spatio-temporal disturbances of multiple context factors for citywide traffic flow prediction . IEEE Transactions on Intelligent Transportation Systems ( 2019 ). Chuanpan Zheng, Xiaoliang Fan, Chenglu Wen, Longbiao Chen, Cheng Wang, and Jonathan Li. 2019. DeepSTD: Mining spatio-temporal disturbances of multiple context factors for citywide traffic flow prediction. IEEE Transactions on Intelligent Transportation Systems (2019)."}],"event":{"name":"KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","location":"Virtual Event CA USA","acronym":"KDD '20","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"]},"container-title":["Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394486.3403358","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3394486.3403358","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:31:29Z","timestamp":1750195889000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394486.3403358"}},"subtitle":["Improving Traffic Prediction with Navigation Data"],"short-title":[],"issued":{"date-parts":[[2020,8,20]]},"references-count":24,"alternative-id":["10.1145\/3394486.3403358","10.1145\/3394486"],"URL":"https:\/\/doi.org\/10.1145\/3394486.3403358","relation":{},"subject":[],"published":{"date-parts":[[2020,8,20]]},"assertion":[{"value":"2020-08-20","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}