Understanding the Basis of Graph Convolutional Neural Networks via an Intuitive Matched Filtering Approach [Lecture Notes]

Graph convolutional neural networks (GCNNs) are becoming a model of choice for learning on irregular domains. However, due to the black-box nature of NNs, their underlying principles are rarely examined in depth.