{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:15:23Z","timestamp":1785543323869,"version":"3.56.0"},"reference-count":59,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key Research and Development Program of China","award":["2021ZD0111802"],"award-info":[{"award-number":["2021ZD0111802"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U23B2031"],"award-info":[{"award-number":["U23B2031"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["721881011"],"award-info":[{"award-number":["721881011"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61932009"],"award-info":[{"award-number":["61932009"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62376086"],"award-info":[{"award-number":["62376086"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U22A2094"],"award-info":[{"award-number":["U22A2094"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"CCF-AFSG Research Fund","award":["CCF-AFSG RF20210006"],"award-info":[{"award-number":["CCF-AFSG RF20210006"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.1109\/tkde.2023.3343402","type":"journal-article","created":{"date-parts":[[2023,12,15]],"date-time":"2023-12-15T19:53:08Z","timestamp":1702669988000},"page":"8488-8501","source":"Crossref","is-referenced-by-count":27,"title":["Hyperbolic Graph Learning for Social Recommendation"],"prefix":"10.1109","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7601-6004","authenticated-orcid":false,"given":"Yonghui","family":"Yang","sequence":"first","affiliation":[{"name":"School of Computer and Information, Hefei University of Technology, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4556-0581","authenticated-orcid":false,"given":"Le","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Computer and Information, Hefei University of Technology, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0743-9003","authenticated-orcid":false,"given":"Kun","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer and Information, Hefei University of Technology, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5461-3986","authenticated-orcid":false,"given":"Richang","family":"Hong","sequence":"additional","affiliation":[{"name":"School of Computer and Information, Hefei University of Technology, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-1343-5614","authenticated-orcid":false,"given":"Hailin","family":"Zhou","sequence":"additional","affiliation":[{"name":"IVY MOBIL, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2321-7259","authenticated-orcid":false,"given":"Zhiqiang","family":"Zhang","sequence":"additional","affiliation":[{"name":"Ant Group, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6033-6102","authenticated-orcid":false,"given":"Jun","family":"Zhou","sequence":"additional","affiliation":[{"name":"Ant Group, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3094-7735","authenticated-orcid":false,"given":"Meng","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer and Information, Hefei University of Technology, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401897"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/nature11421"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2013.2254619"},{"key":"ref4","first-page":"4869","article-title":"Hyperbolic graph convolutional neural networks","volume-title":"Proc. 33rd Int. Conf. Neural Inf. Process. Syst.","author":"Chami"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5330"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313488"},{"key":"ref7","first-page":"215","article-title":"Les \u00e9l\u00e9ments al\u00e9atoires de nature quelconque dans un espace distanci\u00e9","volume":"10","author":"Fr\u00e9chet","year":"1948","journal-title":"Annales de l\u2019institut Henri Poincar\u00e9"},{"key":"ref8","first-page":"5350","article-title":"Hyperbolic neural networks","volume-title":"Proc. 32nd Int. Conf. Neural Inf. Process. Syst.","author":"Ganea"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v29i1.9153"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2528249"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401063"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052569"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2008.22"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/1864708.1864736"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2014.2300487"},{"key":"ref16","first-page":"1","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kipf"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1320040111"},{"key":"ref18","first-page":"3672","article-title":"Lorentzian distance learning for hyperbolic representations","volume-title":"Proc. 36th Int. Conf. Mach. Learn.","author":"Law"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1109739109"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2021.11.040"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482351"},{"key":"ref22","first-page":"8228","article-title":"Hyperbolic graph neural networks","volume-title":"Proc. 33rd Int. Conf. Neural Inf. Process. Syst.","author":"Liu"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/2661829.2662009"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s11704-022-1437-6"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s11704-022-2100-y"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/1935826.1935877"},{"key":"ref27","first-page":"1257","article-title":"Probabilistic matrix factorization","volume-title":"Proc. 20th Int. Conf. Neural Inf. Process. Syst.","author":"Mnih"},{"key":"ref28","first-page":"6338","article-title":"Poincar\u00e9 embeddings for learning hierarchical representations","volume-title":"Proc. 31st Int. Conf. Neural Inf. Process. Syst.","author":"Nickel"},{"key":"ref29","first-page":"3779","article-title":"Learning continuous hierarchies in the Lorentz model of hyperbolic geometry","volume-title":"Proc. 35th Int. Conf. Mach. Learn.","author":"Nickel"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/0040-1951(95)00030-Q"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.67.026112"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2010.127"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1205.2618"},{"key":"ref34","first-page":"4460","article-title":"Representation tradeoffs for hyperbolic embeddings","volume-title":"Proc. 35th Int. Conf. Mach. Learn.","author":"Sala"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-72079-9_9"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3450101"},{"key":"ref37","first-page":"1","article-title":"Graph attention networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Veli\u010dkovi\u0107"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/s10458-007-9021-x"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3463913"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330931"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i11.17217"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331267"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015337"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3048414"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331214"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2018.2872842"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401144"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357924"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539475"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512118"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462928"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591691"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583353"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219890"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3033673"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449844"},{"key":"ref57","first-page":"4599","article-title":"Riemannian SVRG: Fast stochastic optimization on Riemannian manifolds","volume-title":"Proc. 30th Int. Conf. Neural Inf. Process. Syst.","author":"Zhang"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467421"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2021.3081431"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/10750897\/10361607.pdf?arnumber=10361607","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,26]],"date-time":"2024-11-26T23:57:45Z","timestamp":1732665465000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10361607\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12]]},"references-count":59,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2023.3343402","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":[[2024,12]]}}}