{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T20:05:37Z","timestamp":1780949137672,"version":"3.54.1"},"reference-count":36,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"7","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100004826","name":"Beijing Natural Science Foundation","doi-asserted-by":"publisher","award":["L242167"],"award-info":[{"award-number":["L242167"]}],"id":[{"id":"10.13039\/501100004826","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["623B2066"],"award-info":[{"award-number":["623B2066"]}],"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":["U24A20252"],"award-info":[{"award-number":["U24A20252"]}],"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":["62125305"],"award-info":[{"award-number":["62125305"]}],"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":["12531019"],"award-info":[{"award-number":["12531019"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Fundamental and Interdisciplinary Disciplines Breakthrough Plan of the Ministry of Education of China","award":["JYB2025XDXM504"],"award-info":[{"award-number":["JYB2025XDXM504"]}]},{"name":"Shenzhen University 2035 Program for Excellent Research","award":["00000224"],"award-info":[{"award-number":["00000224"]}]},{"name":"Guangdong Major Project of Basic and Applied Basic Research","award":["2023B0303000009"],"award-info":[{"award-number":["2023B0303000009"]}]},{"name":"National Key Laboratory of Human-Machine Hybrid Augmented Intelligence"},{"name":"Jiaotong University","award":["HMHAI-202412"],"award-info":[{"award-number":["HMHAI-202412"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1109\/tpami.2026.3674800","type":"journal-article","created":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T20:23:57Z","timestamp":1773779037000},"page":"8613-8625","source":"Crossref","is-referenced-by-count":0,"title":["Knowledge-Embedded Hypergraph Neural Networks"],"prefix":"10.1109","volume":"48","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0878-2986","authenticated-orcid":false,"given":"Yifan","family":"Feng","sequence":"first","affiliation":[{"name":"School of Software, BNRist, THUIBCS, BLBCI, Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-9174-6562","authenticated-orcid":false,"given":"Yifan","family":"Zhang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Human-Machine Hybrid Augmented Intelligence, Institute of Artificial Intelligence and Robotics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7092-0596","authenticated-orcid":false,"given":"Shaoyi","family":"Du","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Human-Machine Hybrid Augmented Intelligence, Institute of Artificial Intelligence and Robotics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9423-0146","authenticated-orcid":false,"given":"Shihui","family":"Ying","sequence":"additional","affiliation":[{"name":"Shanghai Institute of Applied Mathematics and Mechanics, School of Mechanics and Engineering Science, Shanghai University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0597-1426","authenticated-orcid":false,"given":"Zongze","family":"Wu","sequence":"additional","affiliation":[{"name":"College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4971-590X","authenticated-orcid":false,"given":"Yue","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Software, BNRist, THUIBCS, BLBCI, Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33013558"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/7503.003.0205"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-47157-0_1"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2957097"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539473"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/2487788.2487802"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-99-0185-2"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2199502"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1002\/rsa.20537"},{"key":"ref10","article-title":"HyperGCN: A new method for training graph convolutional networks on hypergraphs","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Yadati"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/366"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3182052"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3532058"},{"key":"ref14","article-title":"Understanding over-squashing and bottlenecks on graphs via curvature","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Topping"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnlest.2022.100159"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.06.068"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/353"},{"key":"ref18","article-title":"You are AllSet: A multiset learning framework for hypergraph neural networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Chien"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330676"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s41060-022-00350-z"},{"key":"ref21","article-title":"Boost then convolve: Gradient boosting meets graph neural networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Ivanov"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.2307\/2699986"},{"key":"ref23","first-page":"3394","article-title":"Deep sets","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Zaheer"},{"key":"ref24","first-page":"2645","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kipf"},{"key":"ref25","first-page":"1025","article-title":"Inductive representation learning on large graphs","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Hamilton"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.11919\/j.issn.1002-0829.215044"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1609\/aimag.v29i3.2157"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1093\/comnet\/cnab014"},{"key":"ref30","article-title":"Pitfalls of graph neural network evaluation","volume-title":"Proc. Relational Representation Learn. Workshop","author":"Shchur"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.14778\/3402707.3402736"},{"key":"ref32","article-title":"Cascade-BGNN: Toward efficient self-supervised representation learning on large-scale bipartite graphs","volume-title":"arXiv:1906.11994","author":"He"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298801"},{"key":"ref34","article-title":"LightHGNN: Distilling hypergraph neural networks into MLPs for 100x faster inference","volume-title":"Proc. 12th Int. Conf. Learn. Representations","author":"Feng"},{"key":"ref35","article-title":"Home equity line of credit (HELOC)","author":"Oliabev"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1037\/h0042519"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/34\/11552636\/11435944.pdf?arnumber=11435944","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T19:52:03Z","timestamp":1780948323000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11435944\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":36,"journal-issue":{"issue":"7"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2026.3674800","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7]]}}}