{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T18:29:31Z","timestamp":1790101771620,"version":"4.0.1"},"reference-count":23,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,10,8]],"date-time":"2022-10-08T00:00:00Z","timestamp":1665187200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,10,8]],"date-time":"2022-10-08T00:00:00Z","timestamp":1665187200000},"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":[[2022,10,8]]},"DOI":"10.1109\/itsc55140.2022.9922211","type":"proceedings-article","created":{"date-parts":[[2022,11,4]],"date-time":"2022-11-04T01:40:13Z","timestamp":1667526013000},"page":"1645-1651","source":"Crossref","is-referenced-by-count":8,"title":["Granger Causal Inference for Interpretable Traffic Prediction"],"prefix":"10.1109","author":[{"given":"Lei","family":"Zhang","sequence":"first","affiliation":[{"name":"Virginia Tech,Department of Computer Science,Falls Church,USA,22043"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kaiqun","family":"Fu","sequence":"additional","affiliation":[{"name":"South Dakota State University,Department of Electrical Engineering and Computer Science,Brookings,SD,USA,57007"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Taoran","family":"Ji","sequence":"additional","affiliation":[{"name":"Virginia Tech,Department of Computer Science,Falls Church,USA,22043"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chang-Tien","family":"Lu","sequence":"additional","affiliation":[{"name":"Virginia Tech,Department of Computer Science,Falls Church,USA,22043"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273604"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5470"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/505"},{"key":"ref15","article-title":"Causal discovery with reinforcement learning","author":"zhu","year":"0","journal-title":"International Conference on Learning Representations"},{"key":"ref14","author":"spirtes","year":"2000","journal-title":"Causation Prediction and Search"},{"key":"ref20","first-page":"1886","article-title":"Channel gating neural networks","author":"hua","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/264"},{"key":"ref22","author":"kipf","year":"2018","journal-title":"Neural Relational Inference for Interacting Systems"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5477"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref2","article-title":"Treatment effect estimation with data-driven variable decomposition","author":"kuang","year":"0","journal-title":"Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence"},{"key":"ref1","article-title":"A meta-transfer objective for learning to disentangle causal mechanisms","author":"bengio","year":"0","journal-title":"International Conference on Learning Representations"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2019.00042"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.94.032220"},{"key":"ref19","article-title":"Wavenet: A generative model for raw audio","volume":"abs 1609 3499","author":"van den oord","year":"2016","journal-title":"CoRR"},{"key":"ref18","article-title":"Diffusion convolutional recurrent neural network: Data-driven traffic forecasting","author":"li","year":"0","journal-title":"International Conference on Learning Representations"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301922"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/274"},{"key":"ref9","article-title":"Adaptive graph convolutional recurrent network for traffic forecasting","author":"bai","year":"0","journal-title":"Neural Information Processing Systems Conference"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330877"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511753978.003"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33013656"},{"key":"ref5","article-title":"Traffic graph convolutional recurrent neural network: A deep learning framework for network-scale traffic learning and forecasting","author":"cui","year":"2019","journal-title":"IEEE Transactions on Intelligent Transportation Systems"}],"event":{"name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","location":"Macau, China","start":{"date-parts":[[2022,10,8]]},"end":{"date-parts":[[2022,10,12]]}},"container-title":["2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9921415\/9921739\/09922211.pdf?arnumber=9922211","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,27]],"date-time":"2023-02-27T23:09:33Z","timestamp":1677539373000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9922211\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,8]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/itsc55140.2022.9922211","relation":{},"subject":[],"published":{"date-parts":[[2022,10,8]]}}}