Upper bounding Graph Neural Networks made easy
RESUME Graph neural networks (GNNs) provide a mechanism to bridge the discrete world of graphs to the continuous world of vectors in which machine learning methods typically operate. GNNs achieve this by computing vector representations of vertices and graphs, and are often specified as computations over adjacency matrices and feature vectors, interleaved with non-linear activation…