Abstract: Dynamic Graph Neural Networks (DGNNs) have demonstrated significant potential in handling temporal graph-structured data. Typical DGNNs combine GNNs to process the structural information of ...

Abstract: Directed Acyclic Graphs (DAGs) are widely utilized across various domains for tasks such as graph algorithms, data flow analysis, program optimization, and machine learning. Representing ...