{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T16:06:02Z","timestamp":1770739562612,"version":"3.49.0"},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"China National R&amp;D Key Research Program","award":["2020YFB1711204"],"award-info":[{"award-number":["2020YFB1711204"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Comput. Biol. Bioinform."],"published-print":{"date-parts":[[2026,1]]},"DOI":"10.1109\/tcbbio.2025.3636508","type":"journal-article","created":{"date-parts":[[2025,11,24]],"date-time":"2025-11-24T18:59:09Z","timestamp":1764010749000},"page":"176-188","source":"Crossref","is-referenced-by-count":0,"title":["A Graph Attention Network-Based Spatial Decomposition Method for Drug Repositioning"],"prefix":"10.1109","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3551-0081","authenticated-orcid":false,"given":"Xiao","family":"Kang","sequence":"first","affiliation":[{"name":"Ningbo Artificial Intelligence Institute, Shanghai Jiao Tong University, Ningbo, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-4106-0294","authenticated-orcid":false,"given":"Licai","family":"Zhang","sequence":"additional","affiliation":[{"name":"Ningbo Artificial Intelligence Institute, Shanghai Jiao Tong University, Ningbo, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1512-2970","authenticated-orcid":false,"given":"Xinxing","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, Oregon Health &amp; Science University, Portland, OR, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-8850-2071","authenticated-orcid":false,"given":"Lin","family":"Wang","sequence":"additional","affiliation":[{"name":"Ningbo Artificial Intelligence Institute, Shanghai Jiao Tong University, Ningbo, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3492-0211","authenticated-orcid":false,"given":"Genke","family":"Yang","sequence":"additional","affiliation":[{"name":"Ningbo Artificial Intelligence Institute, Shanghai Jiao Tong University, Ningbo, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jian","family":"Chu","sequence":"additional","affiliation":[{"name":"Ningbo Artificial Intelligence Institute, Shanghai Jiao Tong University, Ningbo, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/nrd1382"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1159\/000232592"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/nrd1468"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3389\/fphar.2017.00896"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbx017"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.4103\/0022-3859.81870"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btz418"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-018-2220-4"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btaa062"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2022.3144429"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2022.3212051"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2023.3254163"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbaa243"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbab319"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbab581"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btad748"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2024.3351079"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2024.3363080"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2023.3339189"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2022.3194891"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.4c00737"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2024.3372527"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2021.3082466"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2022.104000"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btae349"},{"key":"ref26","first-page":"1","article-title":"Predict then propagate: Graph neural networks meet personalized pagerank","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Gasteiger"},{"key":"ref27","first-page":"9720","article-title":"Graph neural networks with adaptive residual","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Liu"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3008732"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3151400"},{"key":"ref30","first-page":"1","article-title":"Graph attention networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Velikovi"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1021\/ci00057a005"},{"key":"ref32","volume-title":"An Elementary Mathematical Theory of Classification and Prediction","author":"Tanimoto","year":"1958"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1021\/ci025584y"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1038\/sj.ejhg.5201585"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gki033"},{"key":"ref36","first-page":"1725","article-title":"Simple and deep graph convolutional networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Chen"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2020.08.021"},{"key":"ref38","article-title":"A method for stochastic optimization","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kinga"},{"key":"ref39","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","volume-title":"Proc. 13th Int. Conf. Artif. Intell. Statist.","author":"Glorot"},{"issue":"1","key":"ref40","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"Srivastava","year":"2014","journal-title":"J. Mach. Learn. Res."},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1038\/msb.2011.26"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btw228"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btw770"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkj067"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkw838"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2014.03.014"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1200\/JCO.1990.8.6.994"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/S1470-2045(18)30337-1"}],"container-title":["IEEE Transactions on Computational Biology and Bioinformatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10723156\/11372637\/11267120.pdf?arnumber=11267120","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,9]],"date-time":"2026-02-09T21:04:06Z","timestamp":1770671046000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11267120\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1]]},"references-count":48,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tcbbio.2025.3636508","relation":{},"ISSN":["2998-4165"],"issn-type":[{"value":"2998-4165","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,1]]}}}