Dynamic Node Classification

Classifying dynamic nodes is a graph learning task performed on temporal graphs, aiming to classify nodes in real-time based on their evolving characteristics and structural information over time. This task not only focuses on the static attributes of nodes but also emphasizes the state changes of nodes at different time points, thereby enhancing the accuracy and timeliness of classification. Dynamic node classification has significant application value in social network analysis, financial transaction monitoring, disease spread prediction, and other fields.