Magnetic graph matrices are powerful tools for modeling quantum systems and directed networks, but their application in network analysis has been limited by a lack of combinatorial understanding. We ...

"Graphs are the natural language of relationships. Every social network, every molecule, every knowledge base, and every computation graph in a neural network is a graph — and the mathematics of ...

Abstract: Accurate short-term load forecasting (STLF) requires capturing complex spatio-temporal dependencies, a task where standard Graph Neural Networks (GNNs) struggle due to static graph ...