Abstract: In recent years, deep learning-based hyperspectral unmixing techniques have garnered increasing attention and achieved significant progress. However, existing deep learning methods exhibit ...

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 ...

The Kolmogorov-Arnold Network (abbr. KAN) is a novel neural network architecture inspired by the Kolmogorov-Arnold ...