{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,13]],"date-time":"2025-09-13T16:11:03Z","timestamp":1757779863548,"version":"3.28.0"},"reference-count":36,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"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":[[2021,7,18]]},"DOI":"10.1109\/ijcnn52387.2021.9534309","type":"proceedings-article","created":{"date-parts":[[2021,9,21]],"date-time":"2021-09-21T20:40:52Z","timestamp":1632256852000},"page":"1-8","source":"Crossref","is-referenced-by-count":5,"title":["Graph-Aware Collaborative Filtering for Top-N Recommendation"],"prefix":"10.1109","author":[{"given":"Lianjie","family":"Long","sequence":"first","affiliation":[{"name":"Chongqing University,College of Computer Science,Chongqing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yunfei","family":"Yin","sequence":"additional","affiliation":[{"name":"Chongqing University,College of Computer Science,Chongqing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Faliang","family":"Huang","sequence":"additional","affiliation":[{"name":"Chongqing University,College of Computer Science,Chongqing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2017.05.045"},{"key":"ref32","article-title":"Holographic embeddings of knowledge graphs","author":"nickel","year":"2015","journal-title":"ArXiv Preprint"},{"key":"ref31","article-title":"Analogical inference for multi-relational embeddings","author":"liu","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref30","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1023\/A:1007379606734","article-title":"Multitask learning","volume":"28","author":"caruana","year":"1997","journal-title":"Machine Learning"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401063"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3383313.3412488"},{"key":"ref34","first-page":"1112","article-title":"Knowledge graph embedding by translating on hyperplanes","volume":"14","author":"wang","year":"2014","journal-title":"AAAI"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1181"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/2556195.2556259"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098063"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271739"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313417"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331267"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1145\/3308558.3313705","article-title":"Unifying knowledge graph learning and recommendation: Towards a better understanding of user preferences","author":"cao","year":"2019","journal-title":"Conf World-Wide Web"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313411"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331188"},{"key":"ref19","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/435"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080777"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186154"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/2988450.2988454"},{"key":"ref6","article-title":"A survey on knowledge graph-based recommender systems","author":"guo","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2831682"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220023"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186175"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210017"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052569"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939673"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"ref20","first-page":"2224","article-title":"Convolutional networks on graphs for learning molecular fingerprints","author":"duvenaud","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref22","first-page":"2014","article-title":"Learning convolutional neural networks for graphs","author":"niepert","year":"2016","journal-title":"International Conference on Machine Learning"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2017.2692650"},{"key":"ref24","first-page":"2048","article-title":"Show, attend and tell: Neural image caption generation with visual attention","author":"xu","year":"2015","journal-title":"International Conference on Machine Learning"},{"key":"ref23","first-page":"1024","article-title":"Inductive representation learning on large graphs","author":"hamilton","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3056664"},{"key":"ref25","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Advances in neural information processing systems"}],"event":{"name":"2021 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2021,7,18]]},"location":"Shenzhen, China","end":{"date-parts":[[2021,7,22]]}},"container-title":["2021 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9533266\/9533267\/09534309.pdf?arnumber=9534309","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,2]],"date-time":"2022-08-02T23:32:18Z","timestamp":1659483138000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9534309\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,18]]},"references-count":36,"URL":"https:\/\/doi.org\/10.1109\/ijcnn52387.2021.9534309","relation":{},"subject":[],"published":{"date-parts":[[2021,7,18]]}}}