GraphLeap: Decoupling Graph Construction and Convolution for Vision GNN Acceleration on FPGA
arXiv:2604.21290v1 Announce Type: new
Abstract: Vision Graph Neural Networks (ViGs) represent an image as a graph of patch tokens, enabling adaptive, feature-driven neighborhoods. Unlike CNNs with fixed grid biases or Vision Transformers with global t…