What are Graph Neural Networks (GNNs)?

Graph Neural Networks (GNNs) are a class of machine learning models designed to handle graph-structured data. Unlike traditional neural networks that operate on grid-like data such as images or sequences, GNNs are specifically tailored for graphs, which consist of nodes connected by edges. GNNs learn to encode the graph’s topology and node features, enabling them … Read more