Decoding the Microbiome-Disease Axis with Interpretable Graph Neural Networks
Vladimir A Ivanov, Wyatt H. Hartman, Mohammad Soheilypour
This paper introduces GIM, an interpretable graph neural network for microbiome-disease prediction, achieving high accuracy while providing mechanistic insights into microbial interactions.
Journal of Applied Microbiology · Mar 3, 2026Peer-reviewedSystems Biology