{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T17:21:57Z","timestamp":1778001717056,"version":"3.51.4"},"reference-count":58,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61966007"],"award-info":[{"award-number":["61966007"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Guangxi Key Laboratory of Wireless Wideband Communication and Signal Processing"},{"DOI":"10.13039\/501100005372","name":"Guilin University of Electronic Technology","doi-asserted-by":"publisher","award":["GXKL06190204"],"award-info":[{"award-number":["GXKL06190204"]}],"id":[{"id":"10.13039\/501100005372","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005372","name":"Guilin University of Electronic Technology","doi-asserted-by":"publisher","award":["GXKL06200116"],"award-info":[{"award-number":["GXKL06200116"]}],"id":[{"id":"10.13039\/501100005372","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005372","name":"Guilin University of Electronic Technology","doi-asserted-by":"publisher","award":["GXKL06190117"],"award-info":[{"award-number":["GXKL06190117"]}],"id":[{"id":"10.13039\/501100005372","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Laboratory of Cognitive Radio and Information Processing"},{"DOI":"10.13039\/100010449","name":"Ministry of Education","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100010449","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005372","name":"Guilin University of Electronic Technology","doi-asserted-by":"publisher","award":["CRKL180201"],"award-info":[{"award-number":["CRKL180201"]}],"id":[{"id":"10.13039\/501100005372","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005372","name":"Guilin University of Electronic Technology","doi-asserted-by":"publisher","award":["CRKL180106"],"award-info":[{"award-number":["CRKL180106"]}],"id":[{"id":"10.13039\/501100005372","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Guangxi Natural Science Foundation","award":["2020GXNSFAA159105"],"award-info":[{"award-number":["2020GXNSFAA159105"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Multimedia"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tmm.2022.3183388","type":"journal-article","created":{"date-parts":[[2022,6,16]],"date-time":"2022-06-16T19:31:26Z","timestamp":1655407886000},"page":"4842-4855","source":"Crossref","is-referenced-by-count":20,"title":["Adaptive Multi-Hypergraph Convolutional Networks for 3D Object Classification"],"prefix":"10.1109","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4584-4448","authenticated-orcid":false,"given":"Liping","family":"Nong","sequence":"first","affiliation":[{"name":"School of Telecommunication Engineering, Xidian University, Xi&#x2019;an, China"}]},{"given":"Jie","family":"Peng","sequence":"additional","affiliation":[{"name":"School of Telecommunication Engineering, Xidian University, Xi&#x2019;an, China"}]},{"given":"Wenhui","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, China"}]},{"given":"Jiming","family":"Lin","sequence":"additional","affiliation":[{"name":"School of Information and Communication, Guilin University of Electronic Technology, Guilin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2772-8256","authenticated-orcid":false,"given":"Hongbing","family":"Qiu","sequence":"additional","affiliation":[{"name":"School of Information and Communication, Guilin University of Electronic Technology, Guilin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7357-8503","authenticated-orcid":false,"given":"Junyi","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Information and Communication, Guilin University of Electronic Technology, Guilin, China"}]}],"member":"263","reference":[{"key":"ref1","first-page":"652","article-title":"PointNet: Deep learning on point sets for 3D classification and segmentation","volume-title":"Proc. IEEE Conf. Comput. Vis. Pattern Recognit.","author":"Qi","year":"2017"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018513"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3039378"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.114"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00035"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2015.7353481"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.06.091"},{"key":"ref8","first-page":"5099","article-title":"Pointnet++: Deep hierarchical feature learning on point sets in a metric space","volume-title":"Proc. Int. Conf. Neural Inf. Process Syst.","author":"Qi","year":"2017"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33013558"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3082765"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TrustCom50675.2020.00215"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2869747"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/109"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/HPEC.2016.7761624"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107637"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2019.8803207"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/7716214"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i1.16127"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.08.006"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"ref21","first-page":"1511","article-title":"HyperGCN: A new method for training graph convolutional networks on hypergraphs","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Yadati","year":"2019"},{"key":"ref22","article-title":"Line hypergraph convolution network: Applying graph convolution for hypergraphs","author":"Bandyopadhyay","year":"2020"},{"key":"ref23","article-title":"Hypergraph learning with line expansion","author":"Yang","year":"2020"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2019.00111"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.399"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611976700.10"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/366"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.03.012"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/439"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/IKT51791.2020.9345609"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2019.00111"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01459"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2023.109759"},{"key":"ref34","first-page":"3077","article-title":"Learning with partially absorbing random walks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Wu","year":"2012"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.laa.2020.01.012"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1038\/s42005-021-00634-z"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1088\/2632-072X\/abe27e"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412034"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.03.086"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3140355"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.07.044"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3071687"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2943740"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2020.09.057"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298801"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.609"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/3326362"},{"key":"ref48","first-page":"1","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"Proc. Int. Conf. Learn. Represantions","author":"Kipf","year":"2017"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2016.11.002"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.101.022308"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.dam.2022.04.009"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/j.protcy.2012.02.011"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1111\/1467-8659.00669"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2862625"},{"key":"ref55","first-page":"1","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. Int. Conf. Learn. Represantions","author":"Kingma","year":"2014"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2199502"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00776-8_4"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/WI.2016.0042"}],"container-title":["IEEE Transactions on Multimedia"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6046\/10016790\/09797873.pdf?arnumber=9797873","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T04:27:07Z","timestamp":1710390427000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9797873\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":58,"URL":"https:\/\/doi.org\/10.1109\/tmm.2022.3183388","relation":{},"ISSN":["1520-9210","1941-0077"],"issn-type":[{"value":"1520-9210","type":"print"},{"value":"1941-0077","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}