where d k is the centroid of the k th Gaussian basis function, d ij is the pairwise Euclidean distance and γ is the kernel bandwidth. This generates a fuzzy histogram binning of each pairwise distance with the spacing and width determining the resolution of the smooth convolutional filters. The radial basis hyperparameters are suitably tuned depending on graph cutoff and model feature-width. Consequently, the vertex, edge and state features are then passed into linear projection layers as follows, to allow residual connections back to these inputs