This repository provides an efficient generalization of CNNs to non-Euclidean graph structures. The implementation uses TensorFlow and presents spectral filtering approaches for graph-structured data, with Jupyter notebooks for reproducing experiments on MNIST and other datasets. It builds on foundational graph neural network papers including spectral networks and deep convolutional networks on graph-structured data.