Yong Dong

DeloopSGNN: Revisiting Spectral GNNs Through the Lens of Spatial Aggregation

Graph Neural Networks (GNNs) have been studied from two primary perspectives: spectral, which employs global graph signal filtering and is theoretically more expressive, and spatial, which builds on local neighborhood aggregation and generalizes well across diverse graph structures. While spectral G