{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T17:34:12Z","timestamp":1778348052599,"version":"3.51.4"},"reference-count":56,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"7","license":[{"start":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T00:00:00Z","timestamp":1719792000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T00:00:00Z","timestamp":1719792000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T00:00:00Z","timestamp":1719792000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Natural Scientific Foundation of China","award":["72371011"],"award-info":[{"award-number":["72371011"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["72242101"],"award-info":[{"award-number":["72242101"]}],"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":["72031001"],"award-info":[{"award-number":["72031001"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2024,7]]},"DOI":"10.1109\/tkde.2024.3361482","type":"journal-article","created":{"date-parts":[[2024,2,2]],"date-time":"2024-02-02T18:39:14Z","timestamp":1706899154000},"page":"2942-2955","source":"Crossref","is-referenced-by-count":8,"title":["Denoising Item Graph With Disentangled Learning for Recommendation"],"prefix":"10.1109","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0905-9765","authenticated-orcid":false,"given":"Liang","family":"Zhang","sequence":"first","affiliation":[{"name":"Department of Computer Sciecne, Nanyang Technological University, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4532-7109","authenticated-orcid":false,"given":"Guannan","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Economics and Management and MIIT Key Laboratory of Data Intelligence and Management, Beihang University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1744-3110","authenticated-orcid":false,"given":"Xiaohui","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Information Systems and Analytics, National University of Singapore, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7650-3657","authenticated-orcid":false,"given":"Junjie","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Economics and Management and MIIT Key Laboratory of Data Intelligence and Management, Beihang University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401063"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331267"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.aiopen.2021.01.001"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462862"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3099217"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331188"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2487575.2487589"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1037\/h0026750"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2831682"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401137"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052569"},{"key":"ref12","article-title":"Semi-supervised classification with graph convolutional networks","author":"Kipf","year":"2016"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3437963.3441734"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3592859"},{"key":"ref15","first-page":"1352","article-title":"Multi-channel graph neural networks","volume-title":"Proc. 29th Int. Conf. Int. Joint Conf. Artif. Intell.","author":"Zhou"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403233"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330982"},{"key":"ref18","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kingma"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1205.2618"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/2766462.2767755"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3240323.3240369"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1002\/env.3170050203"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052639"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186154"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3314578"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3488560.3498501"},{"key":"ref27","first-page":"20407","article-title":"Contrastive graph structure learning via information bottleneck for recommendation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Wei"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531889"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591994"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015329"},{"key":"ref31","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","volume-title":"Proc. 13th Int. Conf. Artif. Intell. Statist. Workshop","author":"Glorot"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.5555\/3454287.3455008"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3488560.3498408"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219890"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/2959100.2959190"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2008.22"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3133083"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186150"},{"key":"ref40","first-page":"2766","article-title":"Itemrank: A random-walk based scoring algorithm for recommender engines","volume-title":"Proc. Int. Joint Conf. Artif. Intell.","author":"Gori"},{"key":"ref41","article-title":"Graph attention networks","volume":"1050","author":"Velickovic","year":"2017","journal-title":"Stat"},{"key":"ref42","first-page":"1025","article-title":"Inductive representation learning on large graphs","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Hamilton"},{"key":"ref43","first-page":"6861","article-title":"Simplifying graph convolutional networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Wu"},{"key":"ref44","article-title":"Graph convolutional matrix completion","author":"Berg","year":"2017"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5330"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2011.134"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/1150402.1150479"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186111"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772762"},{"key":"ref50","first-page":"688","article-title":"Improved large-scale graph learning through ridge spectral sparsification","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Calandriello"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2016.7899979"},{"key":"ref52","first-page":"1972","article-title":"Learning discrete structures for graph neural networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Franceschi"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403049"},{"key":"ref54","first-page":"11458","article-title":"Robust graph representation learning via neural sparsification","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Zheng"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16600"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5945"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/10549876\/10419031.pdf?arnumber=10419031","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,26]],"date-time":"2024-06-26T13:20:42Z","timestamp":1719408042000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10419031\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7]]},"references-count":56,"journal-issue":{"issue":"7"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2024.3361482","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"value":"1041-4347","type":"print"},{"value":"1558-2191","type":"electronic"},{"value":"2326-3865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,7]]}}}