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September 1, 2020Briefings in Bioinformatics417 citations

Predicting drug–disease associations through layer attention graph convolutional network

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ZYZhouxin YuFHFeng HuangXZXiaohan Zhao

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Abstract

LAGCN is a useful tool for predicting drug-disease associations. This study reveals that embeddings from different convolution layers can reflect the proximities of different orders, and combining the embeddings by the attention mechanism can improve the prediction performances.

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Cite This Study

Yu et al. (2020) studied this question.

synapsesocial.com/papers/69d8c2d08c03fbaff8befff1https://doi.org/10.1093/bib/bbaa243
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