{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T01:40:07Z","timestamp":1773798007460,"version":"3.50.1"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T00:00:00Z","timestamp":1719792000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T00:00:00Z","timestamp":1719792000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T00:00:00Z","timestamp":1719792000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62076130"],"award-info":[{"award-number":["62076130"]}],"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":["61902186"],"award-info":[{"award-number":["61902186"]}],"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":["91846104"],"award-info":[{"award-number":["91846104"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["2242023K30034"],"award-info":[{"award-number":["2242023K30034"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Start-up Research Fund of Southeast University","award":["RF1028623059"],"award-info":[{"award-number":["RF1028623059"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE\/ACM Trans. Comput. Biol. and Bioinf."],"published-print":{"date-parts":[[2024,7]]},"DOI":"10.1109\/tcbb.2022.3233354","type":"journal-article","created":{"date-parts":[[2023,1,2]],"date-time":"2023-01-02T18:56:17Z","timestamp":1672685777000},"page":"1072-1082","source":"Crossref","is-referenced-by-count":2,"title":["Hierarchical Graph Capsule Networks for Molecular Function Classification With Disentangled Representations"],"prefix":"10.1109","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2541-4923","authenticated-orcid":false,"given":"Jing","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Cyber Science and Engineering, Southeast University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Lei","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuxiang","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0528-8202","authenticated-orcid":false,"given":"Cangqi","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4960-174X","authenticated-orcid":false,"given":"Victor S.","family":"Sheng","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Texas Tech University, Lubbock, TX, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/SocialCom-PASSAT.2012.41"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkp206"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-6045-0_11"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2020.2994780"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bti1007"},{"key":"ref6","first-page":"4","article-title":"Classification of non-coding RNA using graph representations of secondary structure","volume-title":"Proc. Pac. Symp. Biocomput.","author":"Karklin"},{"key":"ref7","first-page":"31","article-title":"Kernels for graph classification","volume-title":"Proc. ICDM Workshop Act. Mining","author":"Kashima"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/1835804.1835905"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11782"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2020.2987846"},{"key":"ref11","article-title":"Graph capsule convolutional neural networks","author":"Verma","year":"2018"},{"key":"ref12","first-page":"4212","article-title":"Disentangled graph convolutional networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Ma"},{"key":"ref13","article-title":"Convolution kernels on discrete structures","author":"Haussler","year":"1999"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s41109-019-0195-3"},{"key":"ref15","first-page":"488","article-title":"Efficient graphlet kernels for large graph comparison","volume-title":"Proc. 12th Int. Conf. Artif. Intell. Statist.","author":"Shervashidze"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/1014052.1014072"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-45167-9_11"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2005.132"},{"key":"ref19","first-page":"2539","article-title":"Weisfeiler-lehman graph kernels","volume":"12","author":"Shervashidze","year":"2011","journal-title":"J. Mach. Learn. Res."},{"key":"ref20","article-title":"Semi-supervised classification with graph convolutional networks","author":"Kipf","year":"2016"},{"key":"ref21","article-title":"Semi-supervised classification with graph convolutional networks","author":"Kipf","year":"2017"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3130434"},{"key":"ref23","first-page":"1025","article-title":"Inductive representation learning on large graphs","volume-title":"Proc. 31st Int. Conf. Neural Inf. Process. Syst.","author":"Hamilton"},{"key":"ref24","article-title":"Learning convolutional neural networks for graphs","author":"Niepert","year":"2016"},{"key":"ref25","first-page":"3844","article-title":"Convolutional neural networks on graphs with fast localized spectral filtering","volume-title":"Proc. 30th Int. Conf. Neural Inf. Process. Syst.","author":"Defferrard"},{"key":"ref26","article-title":"Hierarchical graph representation learning with differentiable pooling","author":"Ying","year":"2018"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330982"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11782"},{"key":"ref29","article-title":"Self-attention graph pooling","author":"Lee","year":"2019"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.11"},{"key":"ref31","article-title":"How powerful are graph neural networks?","author":"Xu","year":"2018"},{"key":"ref32","first-page":"1","article-title":"Capsule graph neural network","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Xinyi"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17268"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i2.16237"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3061419"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3077449"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1080\/09720510.2020.1724628"},{"key":"ref38","first-page":"1","article-title":"Matrix capsules with EM routing","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Hinton"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-21735-7_6"},{"key":"ref40","article-title":"Dynamic routing between capsules","author":"Sabour","year":"2017"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1021\/jm00106a046"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-007-0103-5"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/S0022-2836(03)00628-4"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkh081"},{"key":"ref45","article-title":"TUDataset: A collection of benchmark datasets for learning with graphs","author":"Morris","year":"2020"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783417"},{"key":"ref47","first-page":"2186","article-title":"Anonymous walk embeddings","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Ivanov"}],"container-title":["IEEE\/ACM Transactions on Computational Biology and Bioinformatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8857\/10631805\/10004703.pdf?arnumber=10004703","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,10]],"date-time":"2024-08-10T06:40:44Z","timestamp":1723272044000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10004703\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7]]},"references-count":47,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tcbb.2022.3233354","relation":{},"ISSN":["1545-5963","1557-9964","2374-0043"],"issn-type":[{"value":"1545-5963","type":"print"},{"value":"1557-9964","type":"electronic"},{"value":"2374-0043","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,7]]}}}