Machine Learning, Artificial Intelligence, Graph Neural Networks, Deep Learning, Data Science.
variable size of unordered nodes and each node in a graph has a different number of neighbours, so we can’t just use convolution directly anymore. Let’s figure out how to represent a graph in a way that a neural network can understand. Adjacency Matrix We use an adjacency matrix A to represent the