{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T20:17:07Z","timestamp":1740169027199,"version":"3.37.3"},"reference-count":54,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"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":["62002070"],"award-info":[{"award-number":["62002070"]}],"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":["52273175"],"award-info":[{"award-number":["52273175"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science and Technology Plan of Guangzhou City","award":["202102021236"],"award-info":[{"award-number":["202102021236"]}]},{"name":"Opening Project of Guangdong Province Key Laboratory of Computational Science"},{"DOI":"10.13039\/501100002402","name":"Sun Yat-sen University","doi-asserted-by":"publisher","award":["2021013"],"award-info":[{"award-number":["2021013"]}],"id":[{"id":"10.13039\/501100002402","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1109\/jbhi.2022.3204691","type":"journal-article","created":{"date-parts":[[2022,9,6]],"date-time":"2022-09-06T19:23:12Z","timestamp":1662492192000},"page":"5859-5869","source":"Crossref","is-referenced-by-count":0,"title":["SimH: A Novel Representation Learning Model With Activation and Projection Mechanisms for COVID-19 Knowledge Bases"],"prefix":"10.1109","volume":"26","author":[{"given":"Qing","family":"Su","sequence":"first","affiliation":[{"name":"Guangdong University of Technology, Guangzhou, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0712-1417","authenticated-orcid":false,"given":"Enhai","family":"Ou","sequence":"additional","affiliation":[{"name":"Guangdong University of Technology, Guangzhou, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3010-329X","authenticated-orcid":false,"given":"Yuping","family":"Sun","sequence":"additional","affiliation":[{"name":"Guangdong University of Technology, Guangzhou, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1197-2043","authenticated-orcid":false,"given":"Chunyan","family":"Lv","sequence":"additional","affiliation":[{"name":"Department of Materials Chemistry, Huzhou University, Huzhou, Zhejiang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guobo","family":"Xie","sequence":"additional","affiliation":[{"name":"Guangdong University of Technology, Guangzhou, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haoqing","family":"Wang","sequence":"additional","affiliation":[{"name":"Guangdong University of Technology, Guangzhou, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Honglin","family":"Huang","sequence":"additional","affiliation":[{"name":"Guangdong University of Technology, Guangzhou, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3318464.3380599"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bty114"},{"key":"ref33","first-page":"4171","article-title":"Bert: Pre-training of deep bidirectional transformers for language understanding","author":"devlin","year":"0","journal-title":"Proc Conf North Amer Chapter Assoc Computat Linguistics Hum Lang Technol"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3390\/su13042276"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.3390\/fi13010013"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3033997"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jproteome.0c00316"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3388440.3412477"},{"article-title":"A survey of transformers","year":"2021","author":"lin","key":"ref35"},{"key":"ref34","first-page":"1","article-title":"Coronavirus knowledge graph: A case study","author":"chen","year":"0","journal-title":"Proc ACM SIGKDD Int Conf Knowledge Discovery and Data Mining"},{"key":"ref28","first-page":"1","article-title":"COVID-19 knowledge graph: Accelerating information retrieval and discovery for scientific literature","author":"wise","year":"0","journal-title":"Proc Knowledgeable NLP First Workshop Integr Structured Knowl Neural Netw NLP"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btaa834"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/SNAMS52053.2020.9336541"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/219717.219748"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/1376616.1376746"},{"key":"ref20","first-page":"1","article-title":"Rotate: Knowledge graph embedding by relational rotation in complex space","author":"sun","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10314"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1431"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-35289-8_25"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1133"},{"article-title":"Efficient estimation of word representations in vector space","year":"0","author":"mikolov","key":"ref26"},{"key":"ref25","first-page":"3111","article-title":"Distributed representations of words and phrases and their compositionality","author":"mikolov","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-1103"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2807452"},{"key":"ref54","first-page":"1","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"2017","journal-title":"Int Conf Learn Representations"},{"article-title":"Coke: Contextualized knowledge graph embedding","year":"2019","author":"wang","key":"ref53"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-acl.35"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.5555\/3104482.3104584"},{"key":"ref11","first-page":"1","article-title":"Embedding entities and relations for learning and inference in knowledge bases","author":"yang","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611976700.68"},{"key":"ref12","first-page":"2071","article-title":"Complex embeddings for simple link prediction","volume":"48","author":"trouillon","year":"0","journal-title":"Proc 33rd Int Conf Mach Learn"},{"key":"ref13","first-page":"2787","article-title":"Translating embeddings for modeling multi-relational data","author":"bordes","year":"0","journal-title":"Proc 26th Int Conf Neural Inf Process Syst"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v28i1.8870"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v29i1.9491"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1054"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/303"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W15-4007"},{"key":"ref19","first-page":"1","article-title":"Composition-based multi-relational graph convolutional networks","author":"vashishth","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.5555\/1858681.1858721"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1002\/bult.105"},{"article-title":"Oxygen absorption in the earth's atmosphere","year":"1988","author":"reber","key":"ref6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.7544\/issn1000-1239.2016.20160020"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11573"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.50"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i03.5694"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93417-4_38"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11538"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10677"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-2053"},{"key":"ref47","first-page":"926","article-title":"Reasoning with neural tensor networks for knowledge base completion","author":"socher","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"article-title":"Semantic triple encoder for fast open-set link prediction","year":"0","author":"wang","key":"ref42"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2021.103696"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.812"},{"key":"ref43","first-page":"2180","article-title":"A capsule network-based embedding model for knowledge graph completion and search personalization","volume":"1","author":"vu","year":"0","journal-title":"Proc Conf North Amer Chapter Assoc Comput Linguistics Hum Lang Technol"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221020\/9973412\/09878200.pdf?arnumber=9878200","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,26]],"date-time":"2022-12-26T19:28:42Z","timestamp":1672082922000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9878200\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12]]},"references-count":54,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2022.3204691","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"type":"print","value":"2168-2194"},{"type":"electronic","value":"2168-2208"}],"subject":[],"published":{"date-parts":[[2022,12]]}}}