{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T12:10:23Z","timestamp":1775909423848,"version":"3.50.1"},"reference-count":65,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2021,6,1]],"date-time":"2021-06-01T00:00:00Z","timestamp":1622505600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,6,1]],"date-time":"2021-06-01T00:00:00Z","timestamp":1622505600000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,6,1]],"date-time":"2021-06-01T00:00:00Z","timestamp":1622505600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,6,1]],"date-time":"2021-06-01T00:00:00Z","timestamp":1622505600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["61872022"],"award-info":[{"award-number":["61872022"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["61772151"],"award-info":[{"award-number":["61772151"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["61602237"],"award-info":[{"award-number":["61602237"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key R&amp;D Program of China","award":["2017YFB0803305"],"award-info":[{"award-number":["2017YFB0803305"]}]},{"DOI":"10.13039\/100000001","name":"US National Science Foundation","doi-asserted-by":"publisher","award":["III-1526499"],"award-info":[{"award-number":["III-1526499"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"US National Science Foundation","doi-asserted-by":"publisher","award":["III-1763325"],"award-info":[{"award-number":["III-1763325"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"US National Science Foundation","doi-asserted-by":"publisher","award":["III-1909323"],"award-info":[{"award-number":["III-1909323"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"US National Science Foundation","doi-asserted-by":"publisher","award":["CNS-1930941"],"award-info":[{"award-number":["CNS-1930941"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"name":"NSF of Guangdong Province","award":["2017A030313339"],"award-info":[{"award-number":["2017A030313339"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2021,6,1]]},"DOI":"10.1109\/tkde.2019.2959991","type":"journal-article","created":{"date-parts":[[2019,12,16]],"date-time":"2019-12-16T20:34:39Z","timestamp":1576528479000},"page":"2505-2519","source":"Crossref","is-referenced-by-count":117,"title":["Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification"],"prefix":"10.1109","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7422-630X","authenticated-orcid":false,"given":"Hao","family":"Peng","sequence":"first","affiliation":[]},{"given":"Jianxin","family":"Li","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3615-4859","authenticated-orcid":false,"given":"Senzhang","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Lihong","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Qiran","family":"Gong","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6334-4925","authenticated-orcid":false,"given":"Renyu","family":"Yang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6297-712X","authenticated-orcid":false,"given":"Bo","family":"Li","sequence":"additional","affiliation":[]},{"given":"Philip S.","family":"Yu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7810-9071","authenticated-orcid":false,"given":"Lifang","family":"He","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-21735-7_6"},{"key":"ref38","first-page":"2267","article-title":"Recurrent convolutional neural networks for text classification","author":"lai","year":"2015","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-01536-6_8"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.4018\/jdwm.2007070101"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2013.39"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2016.7899981"},{"key":"ref37","first-page":"649","article-title":"Character-level convolutional networks for text classification","author":"zhang","year":"2015","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-1062"},{"key":"ref35","first-page":"1","article-title":"A structured self-attentive sentence embedding","author":"lin","year":"2017","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref34","article-title":"Exploring correlation between labels to improve multi-label classification","author":"garg","year":"2015"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-16483-0_54"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1145\/1089815.1089821"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1171"},{"key":"ref63","first-page":"1453","article-title":"Large margin methods for structured and interdependent output variables","volume":"6","author":"tsochantaridis","year":"2005","journal-title":"J Mach Learn Res"},{"key":"ref28","article-title":"Efficient estimation of word representations in vector space","author":"mikolov","year":"2013"},{"key":"ref64","first-page":"3915","article-title":"SGM: Sequence generation model for multi-label classification","author":"yang","year":"2018","journal-title":"Proc Annual Meeting of the Assoc Computational Linguistics"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2013.97"},{"key":"ref65","first-page":"4171","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"devlin","year":"2019","journal-title":"Proc Conf North Amer Chapter Assoc Comput Linguistics Human Lang Technol"},{"key":"ref29","first-page":"993","article-title":"Latent Dirichlet allocation","volume":"3","author":"blei","year":"2003","journal-title":"J Mach Learn Res"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-3223-4_6"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-1164"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/1390334.1390440"},{"key":"ref21","first-page":"521","article-title":"Hierarchical text classification and evaluation","author":"sun","year":"2001","journal-title":"Proc IEEE Int Conf Data Mining"},{"key":"ref24","author":"berry","year":"2003","journal-title":"Survey of Text Mining"},{"key":"ref23","first-page":"2420","article-title":"Bayesian models for large-scale hierarchical classification","author":"gopal","year":"2012","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref26","first-page":"257","article-title":"Recursive regularization for large-scale classification with hierarchical and graphical dependencies","author":"siddharth","year":"2013","journal-title":"Proc ACM SIGKDD Int Conf Knowledge Discovery and Data Mining"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/2629585"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-77046-6_62"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2016.03.045"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1145\/133160.133172"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1145\/1835449.1835503"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-87481-2_4"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1145\/2487575.2487644"},{"key":"ref55","first-page":"361","article-title":"RCV1: A new benchmark collection for text categorization research","volume":"5","author":"lewis","year":"2004","journal-title":"J Mach Learn Res"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098036"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyg.2017.01683"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080834"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186005"},{"key":"ref40","first-page":"3859","article-title":"Dynamic routing between capsules","author":"sabour","year":"2017","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref12","first-page":"1107","article-title":"Very deep convolutional networks for text classification","author":"conneau","year":"2016","journal-title":"Proc Conf Eur Chapter Assoc Comput Linguistics"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/310"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1350"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1001"},{"key":"ref16","first-page":"1","article-title":"Adversarial training methods for semi-supervised text classification","author":"miyato","year":"2017","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1167"},{"key":"ref18","first-page":"5446","article-title":"DiSAN: Directional self-attention network for RNN\/CNN-free language understanding","author":"shen","year":"2018","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref19","first-page":"1137","article-title":"A neural probabilistic language model","volume":"3","author":"bengio","year":"2003","journal-title":"J Mach Learn Res"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-1150"},{"key":"ref3","author":"goodfellow","year":"2016","journal-title":"Deep Learning"},{"key":"ref6","first-page":"1480","article-title":"Hierarchical attention networks for document classification","author":"yang","year":"2017","journal-title":"Proc Conf North Amer Chapter Assoc Comput Linguistics Human Lang Technol"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1058"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1181"},{"key":"ref7","first-page":"1","article-title":"Bi-directional block self-attention for fast and memory-efficient sequence modeling","author":"shen","year":"2018","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2849727"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33017370"},{"key":"ref46","first-page":"1","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"2017","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref45","first-page":"3837","article-title":"Convolutional neural networks on graphs with fast localized spectral filtering","author":"defferrard","year":"2016","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref48","article-title":"Graph capsule convolutional neural networks","author":"verma","year":"2018"},{"key":"ref47","first-page":"2014","article-title":"Learning convolutional neural networks for graphs","author":"niepert","year":"2016","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1486"},{"key":"ref41","first-page":"1","article-title":"Matrix capsules with EM routing","author":"hinton","year":"2018","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2235192"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1120"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/69\/9427778\/8933476-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/9427778\/08933476.pdf?arnumber=8933476","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:50:53Z","timestamp":1652194253000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8933476\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,1]]},"references-count":65,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2019.2959991","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":[[2021,6,1]]}}}