Abstract: Graph Neural Networks (GNNs) have been gaining more attention due to their excellent performance in modeling various graph-structured data. However, most of the current GNNs only consider ...

Abstract: Recently, a variety of time-varying graphs, such as space-time graph and event-driven graph, are widely employed for modelling the dynamic topologies of satellite Disruption-Tolerant ...