{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,19]],"date-time":"2026-05-19T17:10:35Z","timestamp":1779210635958,"version":"3.51.4"},"reference-count":60,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100008982","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CCF 2230161"],"award-info":[{"award-number":["CCF 2230161"]}],"id":[{"id":"10.13039\/501100008982","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008982","name":"National Science Foundation","doi-asserted-by":"publisher","award":["2230162"],"award-info":[{"award-number":["2230162"]}],"id":[{"id":"10.13039\/501100008982","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000181","name":"Air Force Office of Scientific Research","doi-asserted-by":"publisher","award":["FA9550-22-1-0362"],"award-info":[{"award-number":["FA9550-22-1-0362"]}],"id":[{"id":"10.13039\/100000181","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Institute Financial Services Analytics at the University of Delaware"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Signal and Inf. Process. over Networks"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tsipn.2023.3345142","type":"journal-article","created":{"date-parts":[[2023,12,20]],"date-time":"2023-12-20T14:46:38Z","timestamp":1703083598000},"page":"17-31","source":"Crossref","is-referenced-by-count":4,"title":["Learning Hypergraphs Tensor Representations From Data via t-HGSP"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/2.zoppoz.workers.dev:443\/https\/orcid.org\/0000-0001-8214-6852","authenticated-orcid":false,"given":"Karelia","family":"Pena-Pena","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, University of Delaware, Newark, DE, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/2.zoppoz.workers.dev:443\/https\/orcid.org\/0009-0009-4945-2386","authenticated-orcid":false,"given":"Lucas","family":"Taipe","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, University of Delaware, Newark, DE, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/2.zoppoz.workers.dev:443\/https\/orcid.org\/0000-0002-7062-9432","authenticated-orcid":false,"given":"Fuli","family":"Wang","sequence":"additional","affiliation":[{"name":"Institute for Financial Services Analytics, University of Delaware, Newark, DE, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/2.zoppoz.workers.dev:443\/https\/orcid.org\/0000-0003-1377-4622","authenticated-orcid":false,"given":"Daniel L.","family":"Lau","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, University of Kentucky, Lexington, KY, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/2.zoppoz.workers.dev:443\/https\/orcid.org\/0000-0001-7163-7111","authenticated-orcid":false,"given":"Gonzalo R.","family":"Arce","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, University of Delaware, Newark, DE, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2018.2887284"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2021.108149"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.3013555"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3294470"},{"key":"ref5","first-page":"54","article-title":"Drugs relationship discovery using hypergraph","volume":"10","author":"Shalini","year":"2018","journal-title":"Int. J. Inf. Technol. Comput. Sci."},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/109"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3051495"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-017-0494-5"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1088\/1742-5468\/2010\/10\/P10005"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143847"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101910"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2199502"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2867718"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/7503.003.0205"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2950213"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TSIPN.2023.3276687"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.laa.2010.09.020"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1137\/110841229"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3042088"},{"key":"ref20","article-title":"T-HyperGNNs: Hypergraph neural networks via tensor representations","author":"Wang","year":"2023","journal-title":"TechRxiv"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO58844.2023.10289786"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2013.2238935"},{"key":"ref23","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-540-73510-6","volume-title":"Laplacian Eigenvectors of Graphs: Perron-Frobenius and Faber-Krahn Type Theorems","author":"Biyikoglu","year":"2007"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-1939-6"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2235192"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2546233"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2602809"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0128136"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553400"},{"key":"ref30","first-page":"778","article-title":"Discovering structure by learning sparse graphs","volume-title":"Proc. 32nd Annu. Meeting Cogn. Sci. Soc.","author":"Lake","year":"2010"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2018.2890143"},{"key":"ref32","first-page":"920","article-title":"How to learn a graph from smooth signals","volume-title":"Proc. Artif. Intell. Statist.","author":"Kalofolias","year":"2016"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2014.2377273"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611974751"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1137\/110837711"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2018.2835384"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511804441"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"ref40","first-page":"3835","article-title":"Graph matching networks for learning the similarity of graph structured objects","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Li","year":"2019"},{"issue":"10","key":"ref41","article-title":"Convolutional networks for images, speech, and time series","volume":"3361","author":"LeCun","year":"1995","journal-title":"Handbook Brain Theory Neural Netw."},{"key":"ref42","article-title":"Semi-supervised classification with graph convolutional networks","author":"Kipf","year":"2016"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33013558"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107637"},{"key":"ref45","article-title":"Principled hyperedge prediction with structural spectral features and neural networks","author":"Wan","year":"2021"},{"key":"ref46","article-title":"You are allset: A multiset function framework for hypergraph neural networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Chien","year":"2022"},{"key":"ref47","article-title":"HNHN: Hypergraph networks with hyperedge neurons","volume-title":"Proc. ICML Graph Representation Learn. Beyond Workshop","author":"Dong","year":"2020"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/353"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00639"},{"key":"ref50","article-title":"HyperGCN: A new method for training graph convolutional networks on hypergraphs","volume-title":"Adv. Neural Inf. Process. Syst.","volume":"32","author":"Yadati","year":"2019"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-78799-w"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.120"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP46576.2022.9897774"},{"key":"ref54","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2020.105867"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2013.126"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2018.2837638"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-31988-7_1"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240542"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1002\/nla.1845"}],"container-title":["IEEE Transactions on Signal and Information Processing over Networks"],"original-title":[],"link":[{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/ieeexplore.ieee.org\/ielam\/6884276\/10380708\/10366871-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"https:\/\/2.zoppoz.workers.dev:443\/http\/xplorestaging.ieee.org\/ielx7\/6884276\/10380708\/10366871.pdf?arnumber=10366871","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T19:32:14Z","timestamp":1705087934000},"score":1,"resource":{"primary":{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/ieeexplore.ieee.org\/document\/10366871\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":60,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1109\/tsipn.2023.3345142","relation":{"has-preprint":[{"id-type":"doi","id":"10.36227\/techrxiv.22215487.v1","asserted-by":"object"},{"id-type":"doi","id":"10.36227\/techrxiv.22215487","asserted-by":"object"}]},"ISSN":["2373-776X","2373-7778"],"issn-type":[{"value":"2373-776X","type":"electronic"},{"value":"2373-7778","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}