Machine Learning, Deep Learning, Neural Networks, Artificial Intelligence, Towards Data Science.
with n nodes, each described by d features, we denote the n x d node embedding matrix as H. The structure of the graph is captured by its adjacency matrix A. The connectivity structure between nodes represents the main difference between standard deep learning models and GNNs [1], since the latter