{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T11:36:50Z","timestamp":1784893010964,"version":"3.55.0"},"reference-count":73,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key R&amp;D Program of China","doi-asserted-by":"publisher","award":["2021YFC3300300"],"award-info":[{"award-number":["2021YFC3300300"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key R&amp;D Program of China","doi-asserted-by":"publisher","award":["2021YFC3340302"],"award-info":[{"award-number":["2021YFC3340302"]}],"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":["62202336"],"award-info":[{"award-number":["62202336"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62172300"],"award-info":[{"award-number":["62172300"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62372326"],"award-info":[{"award-number":["62372326"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Artif. Intell."],"published-print":{"date-parts":[[2025,3]]},"DOI":"10.1109\/tai.2024.3459857","type":"journal-article","created":{"date-parts":[[2024,9,13]],"date-time":"2024-09-13T15:17:55Z","timestamp":1726240675000},"page":"559-573","source":"Crossref","is-referenced-by-count":23,"title":["Traffexplainer: A Framework Toward GNN-Based Interpretable Traffic Prediction"],"prefix":"10.1109","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6348-6146","authenticated-orcid":false,"given":"Lingbai","family":"Kong","sequence":"first","affiliation":[{"name":"Department of Computer Science and Technology, Tongji University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9011-0355","authenticated-orcid":false,"given":"Hanchen","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Tongji University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8768-6740","authenticated-orcid":false,"given":"Wengen","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Tongji University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9931-4733","authenticated-orcid":false,"given":"Yichao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Tongji University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2313-7635","authenticated-orcid":false,"given":"Jihong","family":"Guan","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Tongji University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1949-2768","authenticated-orcid":false,"given":"Shuigeng","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Computer Science, Fudan University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3054840"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.117921"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16542"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467430"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i1.16088"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2020.106615"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TRPMS.2021.3066428"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2021.3100641"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s41019-020-00151-z"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3204236"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1061\/(asce)0733-947x(2003)129:6(664)"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2014.10.022"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2009.5309741"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)TE.1943-5436.0000672"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2022.103921"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/9628957"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2718525"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2957109"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1587\/transcom.2018EBP3093"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2018.2873137"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.pmcj.2018.07.004"},{"issue":"613","key":"ref22","first-page":"6827","article-title":"High-dimensional multivariate forecasting with low-rank Gaussian copula processes","volume":"32","author":"Salinas","year":"2019","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/2996913.2997016"},{"key":"ref24","first-page":"1","article-title":"Diffusion convolutional recurrent neural network: Data-driven traffic forecasting","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Li","year":"2018"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/264"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5438"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2024.3415149"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/8863724"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301922"},{"key":"ref30","article-title":"Spatial-temporal transformer networks for traffic flow forecasting","author":"Xu","year":"2020"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2024.3371592"},{"key":"ref33","first-page":"3844","article-title":"Convolutional neural networks on graphs with fast localized spectral filtering","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"29","author":"Defferrard","year":"2016"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2024.3389966"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2024.3370918"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2023.109874"},{"key":"ref37","article-title":"How universal polynomial bases enhance spectral graph neural networks: Heterophily, over-smoothing, and over-squashing","author":"Huang","year":"2024"},{"key":"ref38","first-page":"1","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kipf","year":"2017"},{"key":"ref39","first-page":"1263","article-title":"Neural message passing for quantum chemistry","volume-title":"Proc. Int. Conf. Mach. Learn. (PMLR)","author":"Gilmer","year":"2017"},{"issue":"224","key":"ref40","first-page":"2001","article-title":"Diffusion-convolutional neural networks","volume":"29","author":"Atwood","year":"2016","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref41","article-title":"Graph attention networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Veli\u010dkovi\u0107","year":"2018"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.14778\/3551793.3551827"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref44","first-page":"3319","article-title":"Axiomatic attribution for deep networks","volume-title":"Proc. Int. Conf. Mach. Learn. (PMLR)","author":"Sundararajan","year":"2017"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ISM52913.2021.00049"},{"key":"ref46","article-title":"GNNExplainer: Generating explanations for graph neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Ying","year":"2019"},{"key":"ref47","first-page":"19620","article-title":"Parameterized explainer for graph neural network","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Luo","year":"2020"},{"key":"ref48","first-page":"12241","article-title":"On explainability of graph neural networks via subgraph explorations","volume-title":"Proc. Int. Conf. Mach. Learn. (PMLR)","author":"Yuan","year":"2021"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/3583780.3614871"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11771"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2022.11.119"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3115452"},{"key":"ref53","first-page":"1","article-title":"DEGREE: Decomposition based explanation for graph neural networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Feng","year":"2022"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3187455"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403085"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2019.02.002"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.matcom.2019.12.013"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.117921"},{"key":"ref59","article-title":"STG4Traffic: A survey and benchmark of spatial-temporal graph neural networks for traffic prediction","author":"Luo","year":"2023"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11604"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/W14-4012"},{"key":"ref62","article-title":"SH_traffic","author":"Kong","year":"2024"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/505"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2935152"},{"key":"ref65","article-title":"Discrete graph structure learning for forecasting multiple time series","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Shang","year":"2021"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403118"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1145\/3474717.3483923"},{"key":"ref68","article-title":"Deep inside convolutional networks: Visualising image classification models and saliency maps","author":"Simonyan","year":"2013"},{"key":"ref69","first-page":"3319","article-title":"Axiomatic attribution for deep networks","volume-title":"Proc. Int. Conf. Mach. Learn. (PMLR)","author":"Sundararajan","year":"2017"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1002\/aisy.202400359"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3415112"},{"key":"ref72","article-title":"GPT-ST: generative pre-training of spatio-temporal graph neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"36","author":"Li","year":"2024"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2024\/223"}],"container-title":["IEEE Transactions on Artificial Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/9078688\/10918873\/10680338.pdf?arnumber=10680338","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,27]],"date-time":"2025-11-27T19:01:05Z","timestamp":1764270065000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10680338\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3]]},"references-count":73,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tai.2024.3459857","relation":{},"ISSN":["2691-4581"],"issn-type":[{"value":"2691-4581","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,3]]}}}