{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T08:59:55Z","timestamp":1775638795385,"version":"3.50.1"},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T00:00:00Z","timestamp":1643673600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T00:00:00Z","timestamp":1643673600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T00:00:00Z","timestamp":1643673600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100000923","name":"Australian Research Council","doi-asserted-by":"publisher","award":["FT200100825"],"award-info":[{"award-number":["FT200100825"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000923","name":"Australian Research Council","doi-asserted-by":"publisher","award":["DP190101985"],"award-info":[{"award-number":["DP190101985"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000923","name":"Australian Research Council","doi-asserted-by":"publisher","award":["DP170103954"],"award-info":[{"award-number":["DP170103954"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000923","name":"Australian Research Council","doi-asserted-by":"publisher","award":["DP160104075"],"award-info":[{"award-number":["DP160104075"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2022,2,1]]},"DOI":"10.1109\/tkde.2020.2982878","type":"journal-article","created":{"date-parts":[[2020,3,31]],"date-time":"2020-03-31T03:30:26Z","timestamp":1585625426000},"page":"914-926","source":"Crossref","is-referenced-by-count":51,"title":["Social Boosted Recommendation With Folded Bipartite Network Embedding"],"prefix":"10.1109","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7963-8813","authenticated-orcid":false,"given":"Hongxu","family":"Chen","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1395-261X","authenticated-orcid":false,"given":"Hongzhi","family":"Yin","sequence":"additional","affiliation":[]},{"given":"Tong","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Weiqing","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Xue","family":"Li","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2234-3226","authenticated-orcid":false,"given":"Xia","family":"Hu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00020"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2018.00088"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/1458082.1458205"},{"key":"ref32","first-page":"1257","article-title":"Probabilistic matrix factorization","author":"mnih","year":"2008","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2019.00035"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/482"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2019.00057"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/1864708.1864721"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2580511"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3209987"},{"key":"ref10","year":"2012"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210006"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020579"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/1341531.1341559"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2433396.2433405"},{"key":"ref14","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"2016"},{"key":"ref15","first-page":"1025","article-title":"Inductive representation learning on large graphs","author":"hamilton","year":"2017","journal-title":"Proc 31st Int Conf Neural Inf Process Syst"},{"key":"ref16","article-title":"Graph attention networks","author":"velickovic","year":"2017"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098036"},{"key":"ref28","first-page":"3111","article-title":"Distributed representations of words and phrases and their compositionality","author":"mikolov","year":"2013","journal-title":"Proc 26th Int Conf Neural Inf Process Syst"},{"key":"ref4","article-title":"SocialGCN: An efficient graph convolutional network based model for social recommendation","author":"wu","year":"2018"},{"key":"ref27","article-title":"Neural machine translation by jointly learning to align and translate","author":"bahdanau","year":"2014"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313488"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.soc.27.1.415"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE48307.2020.00125"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2019.00087"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401944"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1177\/0049124193022001006"},{"key":"ref2","first-page":"8075","article-title":"Deep modeling of social relations for recommendation","author":"fan","year":"2018","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref9","article-title":"WalkRanker: A unified pairwise ranking model with multiple relations for item recommendation","author":"yu","year":"2018","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s13278-013-0141-9"},{"key":"ref46","first-page":"123","article-title":"TrustSVD: Collaborative filtering with both the explicit and implicit influence of user trust and of item ratings","author":"guo","year":"2015","journal-title":"Proc 29th AAAI Conf Artif Intell"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2018.03.022"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052569"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2514368"},{"key":"ref22","article-title":"Graph convolutional matrix completion","author":"van den berg","year":"2018"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2605085"},{"key":"ref21","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Proc Conf Neural Inf Process Syst"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219986"},{"key":"ref24","article-title":"Spectral networks and locally connected networks on graphs","author":"bruna","year":"2013"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/2983323.2983711"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2019.00059"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/2911451.2911489"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1174"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/2911451.2911502"},{"key":"ref25","first-page":"3844","article-title":"Convolutional neural networks on graphs with fast localized spectral filtering","author":"defferrard","year":"2016","journal-title":"Proc 30th Int Conf Neural Inf Process Syst"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/9677034\/09050415.pdf?arnumber=9050415","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,8]],"date-time":"2022-04-08T17:55:58Z","timestamp":1649440558000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9050415\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,2,1]]},"references-count":48,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2020.2982878","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":[[2022,2,1]]}}}