{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,10]],"date-time":"2026-05-10T06:35:31Z","timestamp":1778394931431,"version":"3.51.4"},"reference-count":46,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key R&amp;D Program of China","award":["2020AAA0108804"],"award-info":[{"award-number":["2020AAA0108804"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62107017"],"award-info":[{"award-number":["62107017"]}],"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":["62077021"],"award-info":[{"award-number":["62077021"]}],"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":["61977030"],"award-info":[{"award-number":["61977030"]}],"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":["61937001"],"award-info":[{"award-number":["61937001"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2020M682454"],"award-info":[{"award-number":["2020M682454"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2022M711282"],"award-info":[{"award-number":["2022M711282"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Humanity and Social Science Youth Foundation of the Ministry of Education of China","award":["20YJC880083"],"award-info":[{"award-number":["20YJC880083"]}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["CCNU22LJ005"],"award-info":[{"award-number":["CCNU22LJ005"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Ind. Inf."],"published-print":{"date-parts":[[2023,1]]},"DOI":"10.1109\/tii.2022.3194659","type":"journal-article","created":{"date-parts":[[2022,8,5]],"date-time":"2022-08-05T00:32:03Z","timestamp":1659659523000},"page":"382-393","source":"Crossref","is-referenced-by-count":27,"title":["Separated Graph Neural Networks for Recommendation Systems"],"prefix":"10.1109","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0951-1072","authenticated-orcid":false,"given":"Jianwen","family":"Sun","sequence":"first","affiliation":[{"name":"National Engineering Research Center of Educational Big Data, Central China Normal University, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lu","family":"Gao","sequence":"additional","affiliation":[{"name":"National Engineering Research Center of Educational Big Data, Central China Normal University, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6663-5821","authenticated-orcid":false,"given":"Xiaoxuan","family":"Shen","sequence":"additional","affiliation":[{"name":"National Engineering Research Center of Educational Big Data, Central China Normal University, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sannyuya","family":"Liu","sequence":"additional","affiliation":[{"name":"National Engineering Research Center of Educational Big Data, Central China Normal University, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruxia","family":"Liang","sequence":"additional","affiliation":[{"name":"National Engineering Research Center of Educational Big Data, Central China Normal University, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shangheng","family":"Du","sequence":"additional","affiliation":[{"name":"National Engineering Research Center of Educational Big Data, Central China Normal University, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shengyingjie","family":"Liu","sequence":"additional","affiliation":[{"name":"National Engineering Research Center of Educational Big Data, Central China Normal University, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1038\/323533a0"},{"key":"ref38","first-page":"1","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref33","first-page":"6861","article-title":"Simplifying graph convolutional networks","author":"wu","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref32","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.01.023"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219986"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3116209"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3133646"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/s00778-017-0490-5"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741093"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/0893-6080(91)90009-T"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/190"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313562"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380297"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330961"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2833443"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401063"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5330"},{"key":"ref18","article-title":"Graph convolutional matrix completion","author":"van den berg","year":"2017"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331267"},{"key":"ref28","first-page":"2107","article-title":"Collaborative filtering with graph information: Consistency and scalable methods","author":"rao","year":"0","journal-title":"Proc 28th Int Conf Neural Inf Process Syst"},{"key":"ref4","first-page":"714","article-title":"Recommendation as classification: Using social and content-based information in recommendation","author":"basu","year":"0","journal-title":"Proc 15th Nat \/10th Conf Artif Intell \/Innov Appl Artif Intell"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2021.04.070"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2015.03.008"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1142\/IIS"},{"key":"ref29","first-page":"452","article-title":"BPR: Bayesian personalized ranking from implicit feedback","author":"rendle","year":"0","journal-title":"Proc 25th Conf Uncertainty Artif Intell"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.2753\/MIS0742-1222230303"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2893714"},{"key":"ref7","first-page":"1257","article-title":"Probabilistic matrix factorization","volume":"20","author":"mnih","year":"2007","journal-title":"Adv Neural Inf Process Syst"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2958696"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2952849"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2960600"},{"key":"ref46","first-page":"8026","article-title":"Pytorch: An imperative style, high-performance deep learning library","author":"paszke","year":"0","journal-title":"Proc 33rd Int Conf Neural Inf Process Syst"},{"key":"ref20","first-page":"1","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/2339530.2339641"},{"key":"ref22","first-page":"1","article-title":"Graph attention networks","author":"veli?kovi?","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref21","first-page":"1025","article-title":"Inductive representation learning on large graphs","author":"hamilton","year":"0","journal-title":"Proc 31st Int Conf Neural Inf Process Syst"},{"key":"ref42","first-page":"442","article-title":"LLORMA: Local low-rank matrix approximation","volume":"17","author":"lee","year":"2016","journal-title":"J Mach Learn Res"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/371920.372071"},{"key":"ref41","first-page":"2847","article-title":"On the expressive power of deep neural networks","author":"raghu","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ISET.2016.12"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/2827872"},{"key":"ref26","first-page":"10294","article-title":"Self-supervised auxiliary learning with meta-paths for heterogeneous graphs","volume":"33","author":"hwang","year":"2020","journal-title":"Adv Neural Inf Process Syst"},{"key":"ref43","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/j.neunet.2017.03.009","article-title":"Representation learning via dual-autoencoder for recommendation","volume":"90","author":"qing","year":"2017","journal-title":"Neural Netw"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098036"}],"container-title":["IEEE Transactions on Industrial Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9424\/9944026\/09847107.pdf?arnumber=9847107","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,12]],"date-time":"2022-12-12T19:38:42Z","timestamp":1670873922000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9847107\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1]]},"references-count":46,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tii.2022.3194659","relation":{},"ISSN":["1551-3203","1941-0050"],"issn-type":[{"value":"1551-3203","type":"print"},{"value":"1941-0050","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,1]]}}}