{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,11]],"date-time":"2026-05-11T18:21:30Z","timestamp":1778523690451,"version":"3.51.4"},"reference-count":29,"publisher":"IEEE","funder":[{"DOI":"10.13039\/501100012166","name":"National Key R&D Program of China","doi-asserted-by":"publisher","award":["2017YFB0202602,2018YFC0910405,2017YFC1311003,2016YFC1302500,2016YFB0200400,2017YFB0202104"],"award-info":[{"award-number":["2017YFB0202602,2018YFC0910405,2017YFC1311003,2016YFC1302500,2016YFB0200400,2017YFB0202104"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["U19A2067,61772543,U1435222,61625202,61272056"],"award-info":[{"award-number":["U19A2067,61772543,U1435222,61625202,61272056"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100011220","name":"State Key Laboratory of Chemo\/Biosensing and Chemometrics","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100011220","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100011529","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["2016B090918122"],"award-info":[{"award-number":["2016B090918122"]}],"id":[{"id":"10.13039\/501100011529","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,3,1]]},"DOI":"10.1109\/healthcom49281.2021.9399009","type":"proceedings-article","created":{"date-parts":[[2021,6,14]],"date-time":"2021-06-14T20:52:40Z","timestamp":1623703960000},"page":"1-6","source":"Crossref","is-referenced-by-count":3,"title":["A drug information embedding method based on graph convolution neural network"],"prefix":"10.1109","author":[{"given":"Xiaoyi","family":"Feng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shaoliang","family":"Peng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fei","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ying","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"XiangXiang","family":"Zeng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dong-Qing","family":"Wei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yunhao","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Efficient estimation of word representations in vector space","author":"mikolov","year":"2013","journal-title":"Computer ence"},{"key":"ref11","first-page":"93","author":"lee","year":"2011","journal-title":"Random walk based entity ranking on graph for multidimensional recommendation"},{"key":"ref12","author":"hamilton","year":"2017","journal-title":"Representation Learning on Graphs Methods and Applications"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330970"},{"key":"ref14","first-page":"2211","article-title":"Multiple kernel learning algorithms","volume":"12","author":"gonen","year":"2011","journal-title":"Journal of Machine Learning Research"},{"key":"ref15","article-title":"deepnf: Deep network fusion for protein function prediction","author":"vladimir","year":"2018","journal-title":"Bioinformatics"},{"key":"ref16","first-page":"3","author":"chen","year":"2018","journal-title":"A collective variational autoencoder for top-n recommendation with side information"},{"key":"ref17","doi-asserted-by":"crossref","DOI":"10.1093\/nar\/gkx1037","article-title":"Drugbank 5.0: a major update to the drugbank database for 2018","volume":"46","author":"wishart","year":"2018","journal-title":"Nucleic Acids Research"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2017.29"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CIBCB.2004.1393927"},{"key":"ref28","first-page":"613","author":"tong","year":"2006","journal-title":"Fast random walk with restart and its applications"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btz418"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994018"},{"key":"ref3","author":"kipf","year":"2016","journal-title":"Semi-supervised classification with graph convolutional networks"},{"key":"ref6","author":"zhou","year":"2018","journal-title":"Graph neural networks A review of methods and applications"},{"key":"ref29","article-title":"Deep convolutional networks on graph-structured data","author":"henaff","year":"2015","journal-title":"Computer ence"},{"key":"ref5","article-title":"Neodti: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions","author":"fangping","year":"2018","journal-title":"Bioinformatics"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/483"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2018.03.022"},{"key":"ref2","author":"krlj","year":"2019","journal-title":"Deep node ranking an algorithm for structural network embedding and end-to-end classification"},{"key":"ref1","first-page":"1","article-title":"A survey on network embedding","volume":"pp","author":"peng","year":"2017","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"ref9","author":"niepert","year":"2016","journal-title":"Learning convolutional neural networks for graphs"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"1035","DOI":"10.1093\/nar\/gkq1126","article-title":"Drugbank 3.0: a comprehensive resource for omics research on drugs","volume":"39","author":"knox","year":"2011","journal-title":"Nucleic Acids Research"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gku935"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"767d","DOI":"10.1093\/nar\/gkn892","article-title":"Human protein reference database2009 update","volume":"37","author":"keshava prasad","year":"2009","journal-title":"Nucleic Acids Research"},{"key":"ref24","article-title":"Inductive matrix completion for predicting genecdisease associations","author":"nagarajan","year":"2014","journal-title":"Bioinformatics"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"1075","DOI":"10.1093\/nar\/gkv1075","article-title":"The sider database of drugs and side effects","volume":"44","author":"kuhn","year":"2016","journal-title":"Nucleic Acids Research"},{"key":"ref26","doi-asserted-by":"crossref","first-page":"832","DOI":"10.1109\/34.709601","article-title":"The random subspace method for constructing decision forests","volume":"20","author":"ho","year":"1998","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2313125"}],"event":{"name":"2020 IEEE International Conference on E-health Networking, Application & Services (HEALTHCOM)","location":"Shenzhen, China","start":{"date-parts":[[2021,3,1]]},"end":{"date-parts":[[2021,3,2]]}},"container-title":["2020 IEEE International Conference on E-health Networking, Application &amp; Services (HEALTHCOM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9398959\/9398911\/09399009.pdf?arnumber=9399009","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T20:35:18Z","timestamp":1643315718000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9399009\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3,1]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/healthcom49281.2021.9399009","relation":{},"subject":[],"published":{"date-parts":[[2021,3,1]]}}}