Node classification is a graph machine learning task that predicts a categorical label for each vertex in a graph, typically using the graph’s structure together with node and edge features. It is commonly solved with graph neural networks, which propagate and aggregate neighbourhood information across message-passing layers to produce per-node predictions. Applications include fraud detection, citation-network labelling and social-network role inference.