Vision GNN (ViG)

Novel vision architecture representing images as graphs of nodes rather than sequences or grids. Splits images into patches viewed as nodes, connects nearest neighbors, and uses Grapher modules with graph convolution plus FFN modules for feature transformation. Supports both isotropic and pyramid architectures. Published at NeurIPS 2022.