{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T11:06:55Z","timestamp":1786100815715,"version":"3.56.0"},"reference-count":77,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62436006"],"award-info":[{"award-number":["62436006"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2025,5]]},"DOI":"10.1109\/tkde.2025.3538110","type":"journal-article","created":{"date-parts":[[2025,2,13]],"date-time":"2025-02-13T18:45:40Z","timestamp":1739472340000},"page":"2756-2770","source":"Crossref","is-referenced-by-count":21,"title":["Multi-View Riemannian Manifolds Fusion Enhancement for Knowledge Graph Completion"],"prefix":"10.1109","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-8626-0608","authenticated-orcid":false,"given":"Linyu","family":"Li","sequence":"first","affiliation":[{"name":"Key Laboratory of High Confidence Software Technologies (PKU), Ministry of Education, School of Computer Science, Peking University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1087-226X","authenticated-orcid":false,"given":"Zhi","family":"Jin","sequence":"additional","affiliation":[{"name":"Key Laboratory of High Confidence Software Technologies (PKU), Ministry of Education, School of Computer Science, Peking University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2929-2126","authenticated-orcid":false,"given":"Xuan","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Software, Yunnan Key Laboratory of Software Engineering, Yunnan University, Kunming, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2751-2589","authenticated-orcid":false,"given":"Haoran","family":"Duan","sequence":"additional","affiliation":[{"name":"School of Cyber Science and Engineering, Wuhan University, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5973-2415","authenticated-orcid":false,"given":"Jishu","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Software, Yunnan Key Laboratory of Software Engineering, Yunnan University, Kunming, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhengwei","family":"Tao","sequence":"additional","affiliation":[{"name":"Key Laboratory of High Confidence Software Technologies (PKU), Ministry of Education, School of Computer Science, Peking University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haiyan","family":"Zhao","sequence":"additional","affiliation":[{"name":"Key Laboratory of High Confidence Software Technologies (PKU), Ministry of Education, School of Computer Science, Peking University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6840-0578","authenticated-orcid":false,"given":"Xiaofeng","family":"Zhu","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3070843"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3417451"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2024.3391268"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3564609"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2024.3352100"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3325484"},{"key":"ref7","article-title":"EntGPT: Linking generative large language models with knowledge bases","author":"Ding","year":"2024"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657785"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-023-01144-4"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-023-39301-y"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2024.3386168"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599806"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3317631"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/2629489"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.11164"},{"key":"ref16","first-page":"2787","article-title":"Translating embeddings for modeling multi-relational data","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Bordes"},{"key":"ref17","article-title":"Rotate: Knowledge graph embedding by relational rotation in complex space","author":"Sun","year":"2019"},{"key":"ref18","first-page":"10 596","article-title":"GreenKGC: A lightweight knowledge graph completion method","volume-title":"Proc. 61st Annu. Meeting Assoc. Comput. Linguistics","author":"Wang"},{"key":"ref19","article-title":"Expressive: A spatio-functional embedding for knowledge graph completion","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Pavlovi\u0107","year":"2023"},{"key":"ref20","first-page":"6947","article-title":"Compounding geometric operations for knowledge graph completion","volume-title":"Proc. 61st Annu. Meeting Assoc. Comput. Linguistics","author":"Ge"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3292379"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.617"},{"key":"ref23","first-page":"12 316","article-title":"Modeling heterogeneous hierarchies with relation-specific hyperbolic cones","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Bai"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i4.25600"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3450118"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3136921"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i5.20491"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i8.28754"},{"key":"ref29","article-title":"Random laplacian features for learning with hyperbolic space","volume-title":"Proc. 11th Int. Conf. Learn. Representations","author":"Yu","year":"2023"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00022"},{"key":"ref31","first-page":"687","article-title":"Knowledge graph embedding via dynamic mapping matrix","volume-title":"Proc. 53rd Annu. Meeting Assoc. Comput. Linguistics-7th Int. Joint Conf. Natural Lang. Process.","author":"Ji"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v29i1.9491"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2893920"},{"key":"ref34","first-page":"2071","article-title":"Complex embeddings for simple link prediction","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Trouillon"},{"key":"ref35","doi-asserted-by":"crossref","DOI":"10.1016\/j.ins.2023.119548","article-title":"Knowledge graph completion method based on quantum embedding and quaternion interaction enhancement","volume":"648","author":"Li","year":"2023","journal-title":"Inf. Sci."},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i03.5701"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1080\/14786444408645047"},{"key":"ref38","first-page":"2735","article-title":"Quaternion knowledge graph embeddings","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Zhang"},{"key":"ref39","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2022.109889","article-title":"A knowledge graph completion model based on contrastive learning and relation enhancement method","volume":"256","author":"Li","year":"2022","journal-title":"Knowl.-Based Syst."},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11573"},{"key":"ref41","article-title":"A novel embedding model for knowledge base completion based on convolutional neural network","author":"Nguyen","year":"2017"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i03.5694"},{"key":"ref43","first-page":"4463","article-title":"Multi-relational poincar\u00e9 graph embeddings","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Balazevic"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3232398"},{"key":"ref45","first-page":"94","article-title":"Modeling scale-free graphs with hyperbolic geometry for knowledge-aware recommendation","volume-title":"Proc. 15th ACM Int. Conf. Web Search Data Mining","author":"Chen"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3450101"},{"key":"ref47","first-page":"5672","article-title":"Fully hyperbolic neural networks","volume-title":"Proc. 60th Annu. Meeting Assoc. Comput. Linguistics","author":"Chen"},{"key":"ref48","article-title":"Hyperbolic geometric latent diffusion model for graph generation","author":"Fu","year":"2024"},{"key":"ref49","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4419-9982-5","volume-title":"Smooth Manifolds","author":"Lee","year":"2012"},{"key":"ref50","volume-title":"Riemannian Geometry","volume":"171","author":"Petersen","year":"2006"},{"key":"ref51","first-page":"5350","article-title":"Hyperbolic neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Ganea"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/S0898-1221(01)85012-4"},{"key":"ref53","article-title":"Geoopt: Riemannian optimization in PyTorch","author":"Kochurov","year":"2020"},{"key":"ref54","article-title":"Fully hyperbolic convolutional neural networks for computer vision","volume-title":"Proc. 12th Int. Conf. Learn. Representations","author":"Bdeir","year":"2024"},{"issue":"7","key":"ref55","article-title":"Adaptive subgradient methods for online learning and stochastic optimization","volume":"12","author":"Duchi","year":"2011","journal-title":"J. Mach. Learn. Res."},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1174"},{"key":"ref57","article-title":"YAGO3: A knowledge base from multilingual Wikipedias","volume-title":"Proc. Conf. Innov. Data Syst. Res.","author":"Mahdisoltani"},{"key":"ref58","article-title":"Learning systems of concepts with an infinite relational model","volume-title":"Proc. Conf. Assoc. Advance. Artif. Intell.","author":"Kemp"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1002\/cfg.255"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1137"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.349"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.emnlp-main.1034"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3282989"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3272568"},{"key":"ref65","article-title":"FFHR: Fully and flexible hyperbolic representation for knowledge graph completion","author":"Shi","year":"2023"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.emnlp-main.583"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.emnlp-main.349"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645565"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i8.28745"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3218850"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE53745.2022.00126"},{"key":"ref72","first-page":"8026","article-title":"PyTorch: An imperative style, high-performance deep learning library","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Paszke"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i03.5684"},{"key":"ref74","first-page":"6341","article-title":"Poincar\u00e9 embeddings for learning hierarchical representations","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Nickel"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.findings-acl.272"},{"key":"ref76","first-page":"3779","article-title":"Learning continuous hierarchies in the lorentz model of hyperbolic geometry","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Nickel"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/ICEBE55470.2022.00015"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/69\/10948402\/10884893.pdf?arnumber=10884893","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,7]],"date-time":"2025-04-07T03:24:11Z","timestamp":1743996251000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10884893\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5]]},"references-count":77,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2025.3538110","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":[[2025,5]]}}}