{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T18:22:13Z","timestamp":1775067733444,"version":"3.50.1"},"reference-count":50,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key R&#x0026;D Program of China","award":["2020AAA0107000"],"award-info":[{"award-number":["2020AAA0107000"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62222605"],"award-info":[{"award-number":["62222605"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Big Data"],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.1109\/tbdata.2024.3453765","type":"journal-article","created":{"date-parts":[[2024,9,3]],"date-time":"2024-09-03T17:37:05Z","timestamp":1725385025000},"page":"683-693","source":"Crossref","is-referenced-by-count":2,"title":["Denoised Graph Collaborative Filtering via Neighborhood Similarity and Dynamic Thresholding"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9034-7013","authenticated-orcid":false,"given":"Haibo","family":"Ye","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-0994-0014","authenticated-orcid":false,"given":"Lijun","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Nanjing university of Aeronautics and Astronautics, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuan","family":"Yao","sequence":"additional","affiliation":[{"name":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7673-5367","authenticated-orcid":false,"given":"Sheng-Jun","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-85820-3_1"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210007"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3298689.3347037"},{"key":"ref5","first-page":"231","article-title":"Personalized ranking for non-uniformly sampled items","volume-title":"Proc. KDD Cup","author":"Gantner"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3437963.3441800"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3475446"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401155"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3532059"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482492"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512202"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462868"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591994"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3568396"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331267"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401063"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.soc.27.1.415"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2019.00165"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/2827872"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020579"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/2766462.2767755"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531937"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482016"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512104"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482291"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462862"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219890"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3288135"},{"key":"ref29","first-page":"10936","article-title":"Graph convolutional network for recommendation with low-pass collaborative filters","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Yu"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3583780.3614915"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599450"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2023\/260"},{"key":"ref34","article-title":"LightGCL: Simple yet effective graph contrastive learning for recommendation","author":"Cai","year":"2023"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462928"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3604915.3608799"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3583780.3615062"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i4.25611"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599502"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401165"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CCAA.2015.7148534"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICEECCOT52851.2021.9707955"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICSSIT55814.2023.10060889"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053623"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052569"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2021.3087905"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2008.22"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3411884"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401137"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449986"}],"container-title":["IEEE Transactions on Big Data"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6687317\/10750532\/10663922.pdf?arnumber=10663922","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T15:17:06Z","timestamp":1732720626000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10663922\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12]]},"references-count":50,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tbdata.2024.3453765","relation":{},"ISSN":["2332-7790","2372-2096"],"issn-type":[{"value":"2332-7790","type":"electronic"},{"value":"2372-2096","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12]]}}}