How could a weighted drug-drug network help improve adverse drug reaction predictions? Machine learning reveals the importance of edge weights. | D2R Server publishing the DBLP Bibliography Database, hosted at L3S Research Center

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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Fangyu_Zhou>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Shahadat_Uddin>
foaf:homepage	<http://dx.doi.org/doi.org%2F10.1145%2F3579375.3579409>
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dc:identifier	DBLP conf/acsw/ZhouU23a (xsd:string)
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dcterms:issued	2023 (xsd:gYear)
rdfs:label	How could a weighted drug-drug network help improve adverse drug reaction predictions? Machine learning reveals the importance of edge weights. (xsd:string)
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dc:title	How could a weighted drug-drug network help improve adverse drug reaction predictions? Machine learning reveals the importance of edge weights. (xsd:string)
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