Deep Learning Algorithm of Graph Convolutional Network: A Case of Aqueous Solubility Problems
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Cho, Hyeoncheol | ko |
| dc.contributor.author | Choi, Insung S. | ko |
| dc.date.accessioned | 2019-07-11T06:50:10Z | - |
| dc.date.available | 2019-07-11T06:50:10Z | - |
| dc.date.created | 2019-07-09 | - |
| dc.date.created | 2019-07-09 | - |
| dc.date.issued | 2019-06 | - |
| dc.identifier.citation | BULLETIN OF THE KOREAN CHEMICAL SOCIETY, v.40, no.6, pp.485 - 486 | - |
| dc.identifier.issn | 1229-5949 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/263247 | - |
| dc.description.abstract | Illustration of the graph convolutional network for prediction of aqueous solubility from molecular structure. | - |
| dc.language | English | - |
| dc.publisher | WILEY-V C H VERLAG GMBH | - |
| dc.title | Deep Learning Algorithm of Graph Convolutional Network: A Case of Aqueous Solubility Problems | - |
| dc.type | Article | - |
| dc.identifier.wosid | 000471813300005 | - |
| dc.identifier.scopusid | 2-s2.0-85065395704 | - |
| dc.type.rims | ART | - |
| dc.citation.volume | 40 | - |
| dc.citation.issue | 6 | - |
| dc.citation.beginningpage | 485 | - |
| dc.citation.endingpage | 486 | - |
| dc.citation.publicationname | BULLETIN OF THE KOREAN CHEMICAL SOCIETY | - |
| dc.identifier.doi | 10.1002/bkcs.11730 | - |
| dc.identifier.kciid | ART002473069 | - |
| dc.contributor.localauthor | Choi, Insung S. | - |
| dc.description.isOpenAccess | N | - |
| dc.type.journalArticle | Article | - |
| dc.subject.keywordAuthor | Aqueous solubility | - |
| dc.subject.keywordAuthor | Deep learning | - |
| dc.subject.keywordAuthor | Graph convolutional network | - |
| dc.subject.keywordPlus | HIGH-THROUGHPUT | - |
| dc.subject.keywordPlus | IN-SILICO | - |
| dc.subject.keywordPlus | PREDICTION | - |
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