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What is Learning Relationships in Epidemiological Data Using Graph Neural Networks about?

This document discusses the application of graph neural networks (GNNs) to model relationships in epidemiological data, specifically focusing on infectious disease transmission pathways. It highlights the integration of whole-genome sequencing data with epidemiological metadata to improve the accuracy of infector-infectee pair predictions. The study demonstrates that GNNs can outperform traditional statistical models in predicting genetic distances between hosts, although their performance may decline with

Author

eliseu.verissimo

Language

EN