Cargando…
COVID-19 infection inference with graph neural networks
Infectious diseases spread rapidly, and epidemiological surveys are vital to detect high-risk transmitters and reduce transmission rates. To enhance efficiency and reduce the burden on epidemiologists, an automatic tool to assist with epidemiological surveys is necessary. This study aims to develop...
Autores principales: | Song, Kyungwoo, Park, Hojun, Lee, Junggu, Kim, Arim, Jung, Jaehun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10349841/ https://www.ncbi.nlm.nih.gov/pubmed/37454206 http://dx.doi.org/10.1038/s41598-023-38314-3 |
Ejemplares similares
-
Graph Neural Network(GNN) Inference of FPGA
por: Fuad, Kazi Ahmed Asif
Publicado: (2019) -
A graph neural network framework for causal inference in brain networks
por: Wein, S., et al.
Publicado: (2021) -
Defense against membership inference attack in graph neural networks through graph perturbation
por: Wang, Kai, et al.
Publicado: (2022) -
Learnable Topological Features for Phylogenetic Inference via Graph Neural Networks
por: Zhang, Cheng
Publicado: (2023) -
Optimal Social Distancing Policy for COVID-19 Control in Korea: A Model-Based Analysis
por: Jo, Youngji, et al.
Publicado: (2022)