http://rdf.ncbi.nlm.nih.gov/pubchem/reference/35015576

Outgoing Links

Predicate Object
contentType Journal Article
endingPage 10376
issn 1614-7499
0944-1344
issueIdentifier 4
pageRange 10360-10376
publicationName Environmental science and pollution research international
startingPage 10360
bibliographicCitation Yan J, Gao Q, Yu Y, Chen L, Xu Z, Chen J. Combining knowledge graph with deep adversarial network for water quality prediction. Environ Sci Pollut Res Int. 2023 Jan;30(4):10360–76. doi: 10.1007/s11356-022-22769-4. PMID: 36071362.
creator http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_dca26943f9a0126dc15d4ca39c56ce83
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_4f23502f087561c05168496f5d47e3e6
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_1ce1454c85c3f49399612838437d60a6
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_2b74357b173d724095f93e0d9c43a228
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_d551ace43fc76395fdc32be6e4e95e53
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_83834a68e13cff6ba3fc77b459df9ede
date 2022-09-08-04:00^^<http://www.w3.org/2001/XMLSchema#date>
identifier https://pubmed.ncbi.nlm.nih.gov/36071362
https://doi.org/10.1007/s11356-022-22769-4
isPartOf https://portal.issn.org/resource/ISSN/0944-1344
https://portal.issn.org/resource/ISSN/1614-7499
http://rdf.ncbi.nlm.nih.gov/pubchem/journal/22074
language English
source https://www.crossref.org/
https://scigraph.springernature.com/
https://pubmed.ncbi.nlm.nih.gov/
title Combining knowledge graph with deep adversarial network for water quality prediction
discussesAsDerivedByTextMining http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID947
http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID962

Total number of triples: 28.