{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T19:44:10Z","timestamp":1767987850639,"version":"3.49.0"},"reference-count":51,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,12,6]],"date-time":"2022-12-06T00:00:00Z","timestamp":1670284800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,6]],"date-time":"2022-12-06T00:00:00Z","timestamp":1670284800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,12,6]]},"DOI":"10.1109\/bibm55620.2022.9995245","type":"proceedings-article","created":{"date-parts":[[2023,1,2]],"date-time":"2023-01-02T19:09:24Z","timestamp":1672686564000},"page":"1957-1965","source":"Crossref","is-referenced-by-count":4,"title":["GraMDTA: Multimodal Graph Neural Networks for Predicting Drug-Target Associations"],"prefix":"10.1109","author":[{"given":"Jaswanth K.","family":"Yella","sequence":"first","affiliation":[{"name":"University of Cincinnati,Department of Electrical Engineering and Computer Science,OH,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sudhir K.","family":"Ghandikota","sequence":"additional","affiliation":[{"name":"University of Cincinnati,Department of Electrical Engineering and Computer Science,OH,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anil G.","family":"Jegga","sequence":"additional","affiliation":[{"name":"Cincinnati Children&#x2019;s Hospital Medical Center,Division of Biomedical Informatics,OH,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s41060-022-00371-8"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bty593"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1007129"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2018.09.012"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btaa1005"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/b978-0-12-820472-6.00116-x"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btaa921"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bty535"},{"key":"ref9","article-title":"How Powerful are Graph Neural Networks?","volume-title":"7th International Conference on Learning Representations, ICLR 2019","author":"Xu"},{"key":"ref10","article-title":"Convolutional Networks on Graphs for Learning Molecular Fingerprints","volume":"28","author":"Duvenaud","year":"2015","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/tcbb.2021.3082466"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2907522"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bty543"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/483"},{"key":"ref15","article-title":"Inductive Representation Learning on Large Graphs","volume":"30","author":"Hamilton","year":"2017","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/msp.2017.2738401"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btab715"},{"key":"ref18","article-title":"WideDTA: prediction of drug-target binding affinity","author":"\u00d6zt\u00fcrk","year":"2019","journal-title":"arXiv"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btab473"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkaa993"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1002\/cpbi.92"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkj067"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2017.29"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkz1021"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkw993"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkaa1074"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1021\/ci400709d"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1038\/nbt.1990"},{"key":"ref29","article-title":"RDKit: Open-Source Cheminformatics Software","year":"2022"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jmedchem.9b00959"},{"key":"ref31","article-title":"Graph attention networks","volume-title":"6th International Conference on Learning Representations, ICLR 2018 - Conference Track Proceedings","author":"Veli\u010dkovi\u0107"},{"key":"ref32","first-page":"5998","article-title":"Attention is all you need","author":"Vaswani","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref33","article-title":"[1912.01703] PyTorch: An Imperative Style, High-Performance Deep Learning Library","year":"2022"},{"issue":"112","key":"ref34","first-page":"2825","article-title":"Scikit-learn: Machine Learning in Python","volume":"12","author":"Pedregosa","year":"2011","journal-title":"Journal of Machine Learning Research"},{"key":"ref35","article-title":"[1412.6980] Adam: A Method for Stochastic Optimization","year":"2022"},{"key":"ref36","first-page":"1","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"5th International Conference on Learning Representations, ICLR 2017 - Conference Track Proceedings","author":"Kipf"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkp427"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.432"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1282"},{"key":"ref40","article-title":"Drugs@FDA: FDA-Approved Drugs","year":"2022"},{"key":"ref41","article-title":"Drugs@FDA: FDA-Approved Drugs","year":"2022"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/s10585-022-10166-7"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1152\/ajpheart.00683.2017"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1161\/str.0b013e3182299496"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1161\/strokeaha.108.532853"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1038\/sj.bjp.0701709"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.4103\/ijp.ijp_81_17"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330961"},{"key":"ref49","article-title":"Learning from Protein Structure with Geometric Vector Perceptrons","author":"Jing","year":"2021","journal-title":"arXiv"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btab154"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-019-0666-6"}],"event":{"name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","location":"Las Vegas, NV, USA","start":{"date-parts":[[2022,12,6]]},"end":{"date-parts":[[2022,12,8]]}},"container-title":["2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9994793\/9994847\/09995245.pdf?arnumber=9995245","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,2]],"date-time":"2024-03-02T11:16:52Z","timestamp":1709378212000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9995245\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,6]]},"references-count":51,"URL":"https:\/\/doi.org\/10.1109\/bibm55620.2022.9995245","relation":{},"subject":[],"published":{"date-parts":[[2022,12,6]]}}}