Graphs are ubiqitous mathematical objects that describe a set of relationships between entities; however, they are challenging to model with traditional machine learning methods, which require that the input be represented as vectors. In this post, we will discuss graph convolutional networks (GCNs): a class of neural network designed to operate on graphs. We will discuss the intution behind the GCN and how it is similar and different to the convolutional neural network (CNN) used in computer...| Matthew N. Bernstein
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