{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T04:51:50Z","timestamp":1776315110031,"version":"3.50.1"},"reference-count":49,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"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":["61873288"],"award-info":[{"award-number":["61873288"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE\/ACM Trans. Comput. Biol. and Bioinf."],"published-print":{"date-parts":[[2023,3,1]]},"DOI":"10.1109\/tcbb.2022.3205113","type":"journal-article","created":{"date-parts":[[2022,9,8]],"date-time":"2022-09-08T19:45:53Z","timestamp":1662666353000},"page":"1221-1233","source":"Crossref","is-referenced-by-count":17,"title":["Multi-View Graph Neural Architecture Search for Biomedical Entity and Relation Extraction"],"prefix":"10.1109","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6901-6989","authenticated-orcid":false,"given":"Raeed","family":"Al-Sabri","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Central South University, Changsha, Hunan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9363-9908","authenticated-orcid":false,"given":"Jianliang","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Central South University, Changsha, Hunan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3005-4064","authenticated-orcid":false,"given":"Jiamin","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Central South University, Changsha, Hunan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0078-2148","authenticated-orcid":false,"given":"Babatounde Moctard","family":"Oloulade","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Central South University, Changsha, Hunan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2158-0740","authenticated-orcid":false,"given":"Tengfei","family":"Lyu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Central South University, Changsha, Hunan, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbaa110"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2020.3020016"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2018.2838661"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.488"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2017.2777448"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/620"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btab593"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btaa993"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.26599\/TST.2021.9010057"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/195"},{"key":"ref11","first-page":"551","article-title":"Exploiting syntactico-semantic structures for relation extraction","volume-title":"Proc. 49th Annu. Meeting Assoc. Comput. Linguistics: Hum. Lang. Technol.","author":"Chan"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM.2016.7822671"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2018.03.011"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3445965"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.07.032"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1136"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/558"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2020.102311"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-020-3540-8"},{"key":"ref20","first-page":"2006","article-title":"Span-based joint entity and relation extraction with transformer pre-training","volume-title":"Proc. 24th Eur. Conf. Artif. Intell.","volume":"325","author":"Eberts"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.coling-main.8"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM49941.2020.9313367"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1030"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.textgraphs-1.5"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-main.4"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i16.17670"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3389\/fdata.2022.1029307"},{"key":"ref28","first-page":"1057","article-title":"Policy gradient methods for reinforcement learning with function approximation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Sutton"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-63833-7_16"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3463007"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM50108.2020.00084"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1371"},{"key":"ref33","first-page":"1","article-title":"Directed acyclic graph neural networks","volume-title":"Proc. 9th Int. Conf. Learn. Representations","author":"Thost"},{"key":"ref34","first-page":"7134","article-title":"Position-aware graph neural networks","volume-title":"Proc. 36th Int. Conf. Mach. Learn.","author":"You"},{"key":"ref35","first-page":"1","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"Proc. 5th Int. Conf. Learn. Representations","author":"Kipf"},{"key":"ref36","first-page":"6861","article-title":"Simplifying graph convolutional networks","author":"Wu","year":"2019","journal-title":"Int. Conf. Mach. Learn."},{"key":"ref37","first-page":"3844","article-title":"Convolutional neural networks on graphs with fast localized spectral filtering","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Defferrard"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3054830"},{"key":"ref39","first-page":"1025","article-title":"Inductive representation learning on large graphs","volume-title":"Proc. 31st Int. Conf. Neural Inf. Process. Syst.","author":"Hamilton"},{"key":"ref40","first-page":"1","article-title":"Graph attention networks","volume-title":"Proc. 6th Int. Conf. Learn. Representations","author":"Velickovic"},{"key":"ref41","first-page":"21 997","article-title":"DropGNN: Random dropouts increase the expressiveness of graph neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Papp"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/BF00992696"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-017-1609-9"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1307"},{"key":"ref45","article-title":"Neural metric learning for fast end-to-end relation extraction","author":"Tran","year":"2019"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2012.04.008"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W19-5019"},{"key":"ref48","article-title":"Benchmarking biorelex for entity tagging and relation extraction","author":"Bhatt","year":"2020"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1360"}],"container-title":["IEEE\/ACM Transactions on Computational Biology and Bioinformatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8857\/10091711\/09881878.pdf?arnumber=9881878","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T13:05:42Z","timestamp":1706792742000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9881878\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3,1]]},"references-count":49,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tcbb.2022.3205113","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":[[2023,3,1]]}}}