Deep Learning Algorithm of Graph Convolutional Network: A Case of Aqueous Solubility Problems

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dc.contributor.authorCho, Hyeoncheolko
dc.contributor.authorChoi, Insung S.ko
dc.date.accessioned2019-07-11T06:50:10Z-
dc.date.available2019-07-11T06:50:10Z-
dc.date.created2019-07-09-
dc.date.created2019-07-09-
dc.date.issued2019-06-
dc.identifier.citationBULLETIN OF THE KOREAN CHEMICAL SOCIETY, v.40, no.6, pp.485 - 486-
dc.identifier.issn1229-5949-
dc.identifier.urihttp://hdl.handle.net/10203/263247-
dc.description.abstractIllustration of the graph convolutional network for prediction of aqueous solubility from molecular structure.-
dc.languageEnglish-
dc.publisherWILEY-V C H VERLAG GMBH-
dc.titleDeep Learning Algorithm of Graph Convolutional Network: A Case of Aqueous Solubility Problems-
dc.typeArticle-
dc.identifier.wosid000471813300005-
dc.identifier.scopusid2-s2.0-85065395704-
dc.type.rimsART-
dc.citation.volume40-
dc.citation.issue6-
dc.citation.beginningpage485-
dc.citation.endingpage486-
dc.citation.publicationnameBULLETIN OF THE KOREAN CHEMICAL SOCIETY-
dc.identifier.doi10.1002/bkcs.11730-
dc.identifier.kciidART002473069-
dc.contributor.localauthorChoi, Insung S.-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorAqueous solubility-
dc.subject.keywordAuthorDeep learning-
dc.subject.keywordAuthorGraph convolutional network-
dc.subject.keywordPlusHIGH-THROUGHPUT-
dc.subject.keywordPlusIN-SILICO-
dc.subject.keywordPlusPREDICTION-
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