{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T11:05:23Z","timestamp":1776078323673,"version":"3.50.1"},"reference-count":29,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key R&D Program of China","doi-asserted-by":"publisher","award":["2019YFB2101801"],"award-info":[{"award-number":["2019YFB2101801"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"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":[[2021,7,18]]},"DOI":"10.1109\/ijcnn52387.2021.9534167","type":"proceedings-article","created":{"date-parts":[[2021,9,22]],"date-time":"2021-09-22T20:32:37Z","timestamp":1632342757000},"page":"1-8","source":"Crossref","is-referenced-by-count":22,"title":["Spatial-Temporal Dynamic Graph Convolution Neural Network for Air Quality Prediction"],"prefix":"10.1109","author":[{"given":"Xiaocao","family":"Ouyang","sequence":"first","affiliation":[]},{"given":"Yan","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Yiling","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Wei","family":"Zhou","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.12.118"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-04167-0_33"},{"key":"ref12","article-title":"Diffusion convolutional recurrent neural network: Data-driven traffic forecasting","author":"li","year":"0","journal-title":"Proceedings of the 6th International Conference on Learning Representations"},{"key":"ref13","author":"zhang","year":"0","journal-title":"GaAN Gated attention networks for learning on large and spatiotemporal graphs"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/264"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3274895.3274907"},{"key":"ref16","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":"ref17","first-page":"3844","article-title":"Convolutional neural networks on graphs with fast localized spectral filtering","author":"defferrard","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_38"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403118"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.atmosenv.2005.11.041"},{"key":"ref27","first-page":"802","article-title":"Convolutional LSTM network: A machine learning approach for precipitation nowcasting","author":"shi","year":"0","journal-title":"Proceedings of the 29th Conference on Neural Information Processing Systems"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.partic.2013.11.001"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.atmosenv.2005.11.019"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/476"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.scitotenv.2011.08.069"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219822"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2788573"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/18.61115"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.envpol.2017.08.114"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.envpol.2007.06.012"},{"key":"ref20","first-page":"140","article-title":"Kalman filter based prediction system for wintertime PM10 concentrations in Macau","volume":"10","author":"hoi","year":"2008","journal-title":"Global Nest The International Journal"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8461776"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/s16010086"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.jenvman.2016.12.011"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.scitotenv.2019.01.333"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3390\/s18072220"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.5194\/isprs-annals-IV-4-W2-15-2017"}],"event":{"name":"2021 International Joint Conference on Neural Networks (IJCNN)","location":"Shenzhen, China","start":{"date-parts":[[2021,7,18]]},"end":{"date-parts":[[2021,7,22]]}},"container-title":["2021 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9533266\/9533267\/09534167.pdf?arnumber=9534167","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:46:00Z","timestamp":1652197560000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9534167\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,18]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/ijcnn52387.2021.9534167","relation":{},"subject":[],"published":{"date-parts":[[2021,7,18]]}}}