Physics can feel inscrutable to students; this lesson helps them understand a graphing problem by analyzing their own ...

Abstract: Link prediction on temporal networks aims to predict the future edges by modeling the dynamic evolution involved in the graph data. Previous methods relying on the node/edge attributes or ...

Abstract: Temporal graph neural network (GNN) has recently received significant attention due to its wide application scenarios, such as bioinformatics, knowledge graphs, and social networks. There ...