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 …

Topological network measures for drug repositioning

A Badkas, S De Landtsheer… - Briefings in bioinformatics, 2021 - academic.oup.com
Drug repositioning has received increased attention since the past decade as several
blockbuster drugs have come out of repositioning. Computational approaches are …

Graph representation learning in biomedicine

MM Li, K Huang, M Zitnik - arXiv preprint arXiv:2104.04883, 2021 - arxiv.org
Biomedical networks (or graphs) are universal descriptors for systems of interacting
elements, from molecular interactions and disease co-morbidity to healthcare systems and …

MS-BioGraphs: Sequence similarity graph datasets

MK Esfahani, P Boldi, H Vandierendonck… - arXiv preprint arXiv …, 2023 - arxiv.org
Progress in High-Performance Computing in general, and High-Performance Graph
Processing in particular, is highly dependent on the availability of publicly-accessible …

PPA-GCN: A Efficient GCN Framework for Prokaryotic Pathways Assignment

Y Lu, Q Li, T Li - Frontiers in Genetics, 2022 - frontiersin.org
With the rapid development of sequencing technology, completed genomes of microbes
have explosively emerged. For a newly sequenced prokaryotic genome, gene functional …