Filip Mazowiecki

Let’s Agree to Degree: Comparing Graph Convolutional Networks in the Message-Passing Framework

In this paper we cast neural networks defined on graphs as message-passing neural networks (MPNNs) to study the distinguishing power of different classes of such models. We are interested in when certain architectures are able to tell vertices apart based on the feature labels given as input with th…