{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T04:13:32Z","timestamp":1772943212798,"version":"3.50.1"},"reference-count":57,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"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"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1972423"],"award-info":[{"award-number":["U1972423"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Zhejiang Lab","award":["2019KE0 AB01"],"award-info":[{"award-number":["2019KE0 AB01"]}]},{"DOI":"10.13039\/501100010083","name":"Hunan Provincial Innovation Foundation for Postgraduate","doi-asserted-by":"publisher","award":["CX20200108"],"award-info":[{"award-number":["CX20200108"]}],"id":[{"id":"10.13039\/501100010083","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["2021zzts0740"],"award-info":[{"award-number":["2021zzts0740"]}],"id":[{"id":"10.13039\/501100012226","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":[[2022,3,1]]},"DOI":"10.1109\/tcbb.2021.3083566","type":"journal-article","created":{"date-parts":[[2021,5,25]],"date-time":"2021-05-25T19:40:19Z","timestamp":1621971619000},"page":"699-709","source":"Crossref","is-referenced-by-count":39,"title":["Predicting the Survival of Cancer Patients With Multimodal Graph Neural Network"],"prefix":"10.1109","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9363-9908","authenticated-orcid":false,"given":"Jianliang","family":"Gao","sequence":"first","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"}]},{"given":"Fan","family":"Xiong","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Central South University, Changsha, Hunan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1516-0480","authenticated-orcid":false,"given":"Jianxin","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Central South University, Changsha, Hunan, China"}]},{"given":"Weimao","family":"Ke","sequence":"additional","affiliation":[{"name":"College of Computing &amp; Informatics, Drexel University, Philadelphia, PA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5056-0351","authenticated-orcid":false,"given":"Zhao","family":"Li","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, Zhejiang, China"}]}],"member":"263","reference":[{"key":"ref1","first-page":"9244","article-title":"GNNExplainer: Generating explanations for graph neural networks","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Ying"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401214"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/293"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401063"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2020.2988018"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-019-3093-x"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btz699"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-60737-5"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331350"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/380"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33011069"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210077"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2017.09.005"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btz342"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-43372-7"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.7314\/APJCP.2015.16.12.5107"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.csbj.2014.11.005"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330912"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2020.2968882"},{"issue":"3","key":"ref20","first-page":"189","article-title":"The challenge of patient adherence","volume":"1","author":"Martin","year":"2005","journal-title":"Ther. Clin. Risk Manage."},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btaa203"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2018.2806438"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/BMEI.2012.6513032"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331267"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2017.2713408"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2016.2636750"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/823"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5540120"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2015.2398195"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2015.08.004"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2017.2726187"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-70096-0_78"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271701"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220051"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/2993148.2993159"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2015.2482819"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2013.05.023"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.10.009"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.250598"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741093"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10488"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939753"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/3018661.3018667"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132919"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1166"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref49","first-page":"91","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Ren"},{"key":"ref50","article-title":"Hierarchical bipartite graph convolution networks","author":"Nassar","year":"2018"},{"key":"ref51","first-page":"1","article-title":"Semi-supervised classification with graph convolutional networks","author":"Kipf"},{"key":"ref52","first-page":"1","article-title":"Graph attention networks","author":"Veli\u010dkovi\u0107"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098126"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33011126"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.4236\/jbise.2013.65070"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1097-0142(19970401)79:7<1338::AID-CNCR10>3.0.CO;2-0"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1093\/annonc\/mdl343"}],"container-title":["IEEE\/ACM Transactions on Computational Biology and Bioinformatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8857\/9747964\/09440752.pdf?arnumber=9440752","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,31]],"date-time":"2024-07-31T20:26:20Z","timestamp":1722457580000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9440752\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,1]]},"references-count":57,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tcbb.2021.3083566","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":[[2022,3,1]]}}}