Sivaram Krishnan

Graph Signal Reconstruction via Koopman Autoencoder

Real-world graph signals are inherently time-varying and evolve smoothly, making the characterization of such data challenging. We propose a novel approach for reconstructing missing time-varying graph data by leveraging the assumption that the latent variable responsible for generating this data ev…