Node Classification

Node Classification is a machine learning task in graph data analysis, aiming to predict unknown attributes of nodes in a graph based on the attributes of the nodes and their relationships. This task is implemented through models such as Graph Neural Networks, and its performance is typically evaluated using metrics like Accuracy and F1 on benchmark datasets such as Cora, Citeseer, and Pubmed. Node Classification has significant application value in areas like social network analysis, recommendation systems, and bioinformatics.