GNNs extend the foundational ideas of Convolutional Neural Networks (CNNs) to graph data. While CNNs capture spatial locality in grid-like data (for example, images) through convolutional kernels, ...

To calculate this quantity, you must first construct an array of 1s and 0s called an adjacency matrix. This adjacency matrix represents which nodes in your graph are connected by edges and which are ...