Abstract: Pinning control has been attracting wide attention for the study of various complex networks for decades. This article explores grounded theory on the pinning synchronization of the emerging ...

Abstract: Spectral graph neural networks (GNNs) have shown great advantages in various graph-related fields. The core of spectral GNNs is the graph convolution operator based on the graph spectral ...

Can spectral feature transformations enable simple MLPs to compete with Graph Neural Networks? GraphSpec investigates whether graph-aware spectral transformations can bridge the performance gap ...