Graph representation learning in biomedicine and healthcare

MM Li, K Huang, M Zitnik - Nature Biomedical Engineering, 2022 - nature.com
Networks—or graphs—are universal descriptors of systems of interacting elements. In
biomedicine and healthcare, they can represent, for example, molecular interactions …
被引用次数：155 相关文章

Graph representation learning in biomedicine and healthcare

MM Li, K Huang, M Zitnik - Nature Biomedical Engineering, 2022 - search.proquest.com
Networks—or graphs—are universal descriptors of systems of interacting elements. In
biomedicine and healthcare, they can represent, for example, molecular interactions …

Graph representation learning in biomedicine and healthcare.

MM Li, K Huang, M Zitnik - Nature Biomedical Engineering, 2022 - europepmc.org
Biomedical networks (or graphs) are universal descriptors for systems of interacting
elements, from molecular interactions and disease co-morbidity to healthcare systems and …

Graph representation learning in biomedicine and healthcare

MM Li, K Huang, M Zitnik - Nature biomedical engineering, 2022 - pubmed.ncbi.nlm.nih.gov
Networks-or graphs-are universal descriptors of systems of interacting elements. In
biomedicine and healthcare, they can represent, for example, molecular interactions …
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[HTML][HTML] Graph Representation Learning in Biomedicine and Healthcare

MM Li, K Huang, M Zitnik - Nature biomedical engineering, 2022 - ncbi.nlm.nih.gov
Biomedical networks (or graphs) are universal descriptors for systems of interacting
elements, from molecular interactions and disease co-morbidity to healthcare systems and …

Graph representation learning in biomedicine and healthcare.

MM Li, K Huang, M Zitnik - Nature Biomedical Engineering, 2022 - europepmc.org
Networks-or graphs-are universal descriptors of systems of interacting elements. In
biomedicine and healthcare, they can represent, for example, molecular interactions …