Graph Neural Network

Towards a personalized pregnancy experience: Forecasting symptoms using graph neural networks and digital health technologies
A graph neural network that forecasts third-trimester pregnancy symptoms (edema and fatigue) from wearable physiological data and daily app surveys, with heart rate variability and low-intensity activity emerging as key predictors.
Rui Zhu, Jennifer Yu, Stephen H. Friend, Sarah M. Goodday, Bo Wang, Anna Goldenberg
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Extending Similarity Network-Based Classifiers to the Non-Coding Genome and Deep Learning
Based on the idea of patient similarity networks, we extended a graph convolutional network framework to classify clinical outcomes of cancer patients.
Jennifer Yu, Duncan Forster, Shraddha Pai
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Extending Similarity Network-Based Classifiers to the Non-Coding Genome and Deep Learning