{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T16:13:29Z","timestamp":1775578409620,"version":"3.50.1"},"reference-count":34,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,9]],"date-time":"2021-12-09T00:00:00Z","timestamp":1639008000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,9]],"date-time":"2021-12-09T00:00:00Z","timestamp":1639008000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,9]],"date-time":"2021-12-09T00:00:00Z","timestamp":1639008000000},"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","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,12,9]]},"DOI":"10.1109\/bibm52615.2021.9669316","type":"proceedings-article","created":{"date-parts":[[2022,1,14]],"date-time":"2022-01-14T20:40:30Z","timestamp":1642192830000},"page":"38-43","source":"Crossref","is-referenced-by-count":15,"title":["Predicting lncRNA-protein interactions based on graph autoencoders and collaborative training"],"prefix":"10.1109","author":[{"given":"Chen","family":"Jin","sequence":"first","affiliation":[]},{"given":"Zhuangwei","family":"Shi","sequence":"additional","affiliation":[]},{"given":"Han","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Yanbin","family":"Yin","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1038\/nn.3230"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkz969"},{"key":"ref31","doi-asserted-by":"crossref","first-page":"490d","DOI":"10.1093\/nar\/gky1130","article-title":"The SUPERFAMILY 2.0 database: a significant proteome update and a new webserver","volume":"47","author":"pandurangan","year":"2018","journal-title":"Nucleic Acids Research"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkx1107"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1038\/nsmb.2163"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2018.2861009"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1111\/jcmm.14048"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1155\/2015\/671950"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3389\/fgene.2019.00343"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3389\/fgene.2020.615144"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3389\/fgene.2019.01341"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.08.029"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.ygeno.2020.05.005"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-021-04171-y"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-020-03914-7"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330912"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.12659\/MSM.910955"},{"key":"ref27","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"2017","journal-title":"Proceedings of the International Conference on Learning Representations (ICLR)"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.18632\/aging.102080"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s11427-013-4553-6"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkt1057"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1038\/nm1784"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.07.065"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.gpb.2016.01.004"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbw060"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3389\/fgene.2018.00239"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tcb.2011.04.001"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2008.2005605"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-021-04073-z"},{"key":"ref21","article-title":"Variational graph auto-encoders","author":"kipf","year":"2016","journal-title":"NeurIPS Workshop on Bayesian Deep Learning (NeurIPS BDL)"},{"key":"ref24","first-page":"5241","article-title":"GMNN: Graph Markov neural networks","volume":"97","author":"qu","year":"2019","journal-title":"Machine Learning Research"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btz965"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0141287"},{"key":"ref25","first-page":"1188","article-title":"Distributed representations of sentences and documents","volume":"32","author":"le","year":"2014","journal-title":"Machine Learning Research"}],"event":{"name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","location":"Houston, TX, USA","start":{"date-parts":[[2021,12,9]]},"end":{"date-parts":[[2021,12,12]]}},"container-title":["2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9669261\/9669139\/09669316.pdf?arnumber=9669316","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:57:09Z","timestamp":1652201829000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9669316\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,9]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/bibm52615.2021.9669316","relation":{},"subject":[],"published":{"date-parts":[[2021,12,9]]}}}