{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T16:13:37Z","timestamp":1774023217615,"version":"3.50.1"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61702526"],"award-info":[{"award-number":["61702526"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Advanced Research Project","award":["6141B0801010b"],"award-info":[{"award-number":["6141B0801010b"]}]},{"name":"Defense Industrial Technology Development Program","award":["JCKY2017204B064"],"award-info":[{"award-number":["JCKY2017204B064"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3023685","type":"journal-article","created":{"date-parts":[[2020,9,14]],"date-time":"2020-09-14T21:10:39Z","timestamp":1600117839000},"page":"167371-167382","source":"Crossref","is-referenced-by-count":12,"title":["A Time-Aware Graph Neural Network for Session-Based Recommendation"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8582-859X","authenticated-orcid":false,"given":"Yupu","family":"Guo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanxiang","family":"Ling","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Honghui","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2014.2329676"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/s11257-018-9209-6"},{"key":"ref33","article-title":"Gated graph sequence neural networks","author":"li","year":"2015","journal-title":"arXiv 1511 05493"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2008.2005605"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2008.2010350"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783417"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1179"},{"key":"ref36","article-title":"Balancing multi-level interactions for session-based recommendation","volume":"abs 1910 13527","author":"zheng","year":"2019","journal-title":"CoRR"},{"key":"ref35","article-title":"Graph attention networks","author":"velickovic","year":"2017","journal-title":"arXiv 1710 10903"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098126"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401098"},{"key":"ref40","article-title":"30Music listening and playlists dataset","author":"turrin","year":"2015","journal-title":"Proc 9th ACM Conf Recommender Syst (RecSys)"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/2507157.2507166"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/2792838.2799684"},{"key":"ref13","first-page":"537","article-title":"The natural language of playlists","author":"mcfee","year":"2011","journal-title":"Proc ISMIR"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/2365952.2365971"},{"key":"ref15","first-page":"1265","article-title":"An MDP-based recommender system","volume":"6","author":"shani","year":"2005","journal-title":"J Mach Learn Res"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/2645710.2645739"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772773"},{"key":"ref18","article-title":"A critical review of recurrent neural networks for sequence learning","author":"lipton","year":"2015","journal-title":"arXiv 1506 00019"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271761"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/2988450.2988452"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331210"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132926"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/547"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741093"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301346"},{"key":"ref8","article-title":"Personalized graph neural networks with attention mechanism for session-aware recommendation","author":"wu","year":"2019","journal-title":"arXiv 1910 08887"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401319"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/2959100.2959167"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/1864708.1864770"},{"key":"ref1","article-title":"Session-based recommendations with recurrent neural networks","author":"hidasi","year":"2015","journal-title":"arXiv 1511 06939"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3109859.3109896"},{"key":"ref22","first-page":"1593","article-title":"What can history tell us? Identifying relevant sessions for next-item recommendation","author":"sun","year":"2019","journal-title":"Proc Int Conf Inf Knowl Manage"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220014"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3006360"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219950"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/2661714.2661719"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357964"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219869"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3109859.3109872"},{"key":"ref43","first-page":"1","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"Proc 3rd Int Conf Learn Representations (ICLR)"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/2652481"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09195431.pdf?arnumber=9195431","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:55:53Z","timestamp":1639770953000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9195431\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":44,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3023685","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}