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Multi-view spectral graph convolution with consistent edge attention for molecular modeling

Neurocomputing(2021)10.1016/j.neucom.2021.02.025Source: DataRank Database

Multi-view spectral graph convolution with consistent edge attention for molecular modeling is a research paper published in Neurocomputing (2021). On theSindex it has a DataRank of 0. It has been cited 27 times.

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27 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (8 grants)OA: closedIDs (PubMed)

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Authors (6)

Qinqing Liu ORCID,Qianqian Tong ORCID,Jiangwen Sun,Minghu Song ORCID,Jinbo Bi ORCID

Live enrichment

PubMed:19910364

National Institutes of Health

Grant: R01-DA037349

National Institutes of Health

Grant: K02-DA043063

National Science Foundation

Grant: IIS-1514357

National Science Foundation

Grant: IIS-1718738

National Science Foundation

Grant: IIS-1407205

National Science Foundation

Grant: IIS-1447711

National Science Foundation

Grant: IIS-1320586

National Science Foundation

Grant: DBI-1356655

closedLicense: https://doi.org/10.15223/policy-004

publisherhttps://api.elsevier.com/content/article/PII:S092523122100271X?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S092523122100271X?httpAccept=text/plain

Multi-view spectral graph convolution with consistent edge attention for molecular modeling

FAIR Checklist

Authors (6)

Funding (8 grants)

Open Access