{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T23:03:04Z","timestamp":1772751784522,"version":"3.50.1"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,10,17]],"date-time":"2021-10-17T00:00:00Z","timestamp":1634428800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,10,17]],"date-time":"2021-10-17T00:00:00Z","timestamp":1634428800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,10,17]],"date-time":"2021-10-17T00:00:00Z","timestamp":1634428800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,10,17]]},"DOI":"10.1109\/smc52423.2021.9658969","type":"proceedings-article","created":{"date-parts":[[2022,1,6]],"date-time":"2022-01-06T15:34:35Z","timestamp":1641483275000},"page":"244-250","source":"Crossref","is-referenced-by-count":4,"title":["Rec-clusterGCN: An Efficient Graph Convolution Network for Recommendation"],"prefix":"10.1109","author":[{"given":"Tianhao","family":"Sun","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Man","family":"Luo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Renqin","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yunni","family":"Xia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ning","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1137\/S1064827595287997"},{"key":"ref11","first-page":"1257","article-title":"Probabilistic matrix factorization","volume":"20","author":"mnih","year":"2007","journal-title":"Advances in neural information processing systems"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401944"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3240323.3240381"},{"key":"ref14","article-title":"Spectral networks and locally connected networks on graphs","author":"bruna","year":"2013","journal-title":"arXiv preprint arXiv 1312 6203"},{"key":"ref15","article-title":"Graph convolutional matrix completion","author":"v d berg","year":"2017","journal-title":"arXiv preprint arXiv 1706 02263"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219890"},{"key":"ref17","first-page":"6861","article-title":"Simplifying graph convolutional networks, in International conference on machine learning","author":"wu","year":"2019","journal-title":"PMLR"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330925"},{"key":"ref19","article-title":"Bpr: Bayesian personalized ranking from implicit feedback","author":"rendle","year":"2012","journal-title":"arXiv preprint arXiv 1205 2618"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080797"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052569"},{"key":"ref6","first-page":"165","author":"wang","year":"2019","journal-title":"Neural collaborative filtering"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2831682"},{"key":"ref8","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"2016","journal-title":"arXiv preprint arXiv 1609 02907"},{"key":"ref7","article-title":"Inductive representation learning on large graphs","author":"hamilton","year":"2017","journal-title":"arXiv preprint arXiv 1706 02216"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"ref1","article-title":"Empirical analysis of predictive algorithms for collaborative filtering","author":"breese","year":"1998","journal-title":"Proc 14th Conference on Uncertainty in Artificial Intelligence"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401063"},{"key":"ref20","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"Computer Science"},{"key":"ref22","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks, in Proceedings of the thirteenth international conference on artificial intelligence and statistics","author":"glorot","year":"2010","journal-title":"JMLR Workshop and Conference Proceedings"},{"key":"ref21","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v30i1.9973","article-title":"Vbpr: visual bayesian personalized ranking from implicit feedback","volume":"30","author":"he","year":"2016","journal-title":"Proceedings of the AAAI Conference on Artificial Intelligence"}],"event":{"name":"2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","location":"Melbourne, Australia","start":{"date-parts":[[2021,10,17]]},"end":{"date-parts":[[2021,10,20]]}},"container-title":["2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9658572\/9658575\/09658969.pdf?arnumber=9658969","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,22]],"date-time":"2023-01-22T00:14:33Z","timestamp":1674346473000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9658969\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,17]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/smc52423.2021.9658969","relation":{},"subject":[],"published":{"date-parts":[[2021,10,17]]}}}