Antonio García Marqués

LEARNING PRODUCT GRAPHS FROM TWO-DIMENSIONAL STATIONARY SIGNALS

Graph learning aims to infer a network structure directly from observed data, enabling the analysis of complex dependencies in irregular domains. Traditional methods focus on scalar signals at each node, ignoring dependencies along additional dimensions such as time, configurations of the observatio…