{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,6]],"date-time":"2026-06-06T06:07:37Z","timestamp":1780726057184,"version":"3.54.1"},"reference-count":31,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2022,12,1]]},"DOI":"10.1109\/tkde.2021.3076772","type":"journal-article","created":{"date-parts":[[2021,4,30]],"date-time":"2021-04-30T19:55:45Z","timestamp":1619812545000},"page":"5993-6002","source":"Crossref","is-referenced-by-count":24,"title":["Self-Propagation Graph Neural Network for Recommendation"],"prefix":"10.1109","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0886-3543","authenticated-orcid":false,"given":"Wenhui","family":"Yu","sequence":"first","affiliation":[{"name":"Alibaba Group, Hangzhou, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiao","family":"Lin","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2921-2827","authenticated-orcid":false,"given":"Jinfei","family":"Liu","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junfeng","family":"Ge","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenwu","family":"Ou","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zheng","family":"Qin","sequence":"additional","affiliation":[{"name":"School of Software, Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/2507157.2507163"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/2827872"},{"key":"ref10","first-page":"1","article-title":"The bellkor solution to the netflix grand prize","volume":"81","author":"koren","year":"2009","journal-title":"Netflix Prize Documentation"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/371920.372071"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/138859.138867"},{"key":"ref13","first-page":"452","article-title":"BPR: Bayesian personalized ranking from implicit feedback","author":"rendle","year":"2009","journal-title":"Proc 25th Conf Uncertainty Artif Intell"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080797"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.9973"},{"key":"ref16","first-page":"10936","article-title":"Graph convolutional network for recommendation with low-pass collaborative filters","author":"yu","year":"2020","journal-title":"Proc 37nd Int Conf Mach Learn"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/2988450.2988454"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186146"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3018661.3018665"},{"key":"ref28","first-page":"26","article-title":"Lecture 6.5-RMSprop: Divide the gradient by a running average of its recent magnitude","volume":"4","author":"tieleman","year":"2012","journal-title":"COURSERA Neural Netw Mach Learn"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331214"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1137\/S0895479888151111"},{"key":"ref3","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"2017","journal-title":"Proc 5th Int Conf Learn Representations"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401063"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/2872427.2883037"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331267"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/308"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052569"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219890"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080777"},{"key":"ref1","article-title":"Graph convolutional matrix completion","author":"berg","year":"2018","journal-title":"Proc ACM SIGKDD Int Conf Knowledge Discovery and Data Mining"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186070"},{"key":"ref22","first-page":"2107","article-title":"Collaborative filtering with graph information: Consistency and scalable methods","author":"rao","year":"2015","journal-title":"Proc 29th Annu Conf Neural Inf Process Syst"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080786"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186064"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313478"},{"key":"ref26","first-page":"849","article-title":"On spectral clustering: Analysis and an algorithm","author":"ng","year":"2001","journal-title":"Proc 14th Int Conf Neural Inf Process Syst Natural Synthetic"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3240323.3240343"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/9941016\/09420316.pdf?arnumber=9420316","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,8]],"date-time":"2022-11-08T16:40:13Z","timestamp":1667925613000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9420316\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,1]]},"references-count":31,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2021.3076772","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":[[2022,12,1]]}}}