Learning with Covariance Matrices: Principal Component Analysis Meets Learning with Graphs
The conceptual insights facilitated by VNNs to the specific task of characterizing brain age gap for neurodegenerative conditions using neuroimaging datasets are elucidated, and how impact of these foundational advances permeates to principled designs and applications of learning methods across broad domains where cova...