Node Classification

Node classification is one of the most common application areas of graph neural networks. The goal is to predict the correct label for each node by using both node features and neighborhood structure. Examples include user labeling in social networks, domain classification in citation graphs, and fraud-node detection. The added relational information in the graph makes this task fundamentally different from classical tabular classification.