{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T00:04:30Z","timestamp":1769126670852,"version":"3.49.0"},"reference-count":31,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3598092","type":"journal-article","created":{"date-parts":[[2025,8,12]],"date-time":"2025-08-12T18:03:35Z","timestamp":1755021815000},"page":"150228-150243","source":"Crossref","is-referenced-by-count":2,"title":["Reinforcement Learning-Based Recommender Systems Enhanced With Graph Neural Networks"],"prefix":"10.1109","volume":"13","author":[{"given":"Chenxi","family":"Fan","sequence":"first","affiliation":[{"name":"Department of Information Science, Graduate School of Advanced Science and Engineering, Hiroshima University, Higashihiroshima, Japan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9412-7309","authenticated-orcid":false,"given":"Satoshi","family":"Fujita","sequence":"additional","affiliation":[{"name":"Department of Information Science, Graduate School of Advanced Science and Engineering, Hiroshima University, Higashihiroshima, Japan"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cels.2019.03.006"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICIIP61524.2023.10537686"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-97-3937-0_33"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-66336-9_4"},{"key":"ref5","article-title":"Graph convolutional matrix completion","author":"van den Berg","year":"2017","journal-title":"arXiv:1706.02263"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3289600.3290999"},{"key":"ref7","first-page":"1","article-title":"Protein interface prediction using graph convolutional networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Fout"},{"key":"ref8","first-page":"1024","article-title":"Inductive representation learning on large graphs","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Hamilton"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052569"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref11","first-page":"15820","article-title":"Generative models for graph-based protein design","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Ingraham"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1609.02907"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"ref14","article-title":"Continuous control with deep reinforcement learning","author":"Lillicrap","year":"2015","journal-title":"arXiv:1509.02971"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICMI60790.2024.10586146"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/192844.192905"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/371920.372071"},{"issue":"9","key":"ref18","first-page":"175","article-title":"An MDP-based recommender system","volume":"6","author":"Shani","year":"2005","journal-title":"J. Mach. Learn. Res."},{"key":"ref19","article-title":"Proximal policy optimization algorithms","author":"Schulman","year":"2017","journal-title":"arXiv:1707.06347"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.4324\/9780203786031-11"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.rineng.2025.104168"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-025-10973-5"},{"key":"ref23","first-page":"1249","article-title":"Distributionally robust reinforcement learning for personalized recommendation","volume-title":"Proc. 27th ACM SIGKDD Conf. Knowl. Discovery Data Mining","author":"Zhao"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401147"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/1363686.1363954"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10295"},{"key":"ref27","article-title":"Graph attention networks","author":"Veli\u010dkovi\u0107","year":"2017","journal-title":"arXiv:1710.10903"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v28i1.8870"},{"key":"ref29","first-page":"1995","article-title":"Dueling network architectures for deep reinforcement learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Wang"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219890"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3240323.3240374"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/11123173.pdf?arnumber=11123173","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,2]],"date-time":"2025-09-02T04:49:19Z","timestamp":1756788559000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11123173\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3598092","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}