Petia I. Radeva

This paper proposes a graph neural network approach for phenotype prediction that incorporates protein-protein interactions, outperforming existing methods in Alzheimer's disease prediction.

The paper investigates neurophysiological signatures during the retrieval of real-life episodic memories using EEG and a convolutional network-based algorithm to select stimuli.