Abstract: As interactions among elements in applications such as social networks, transaction networks, and IP-IP networks dynamically evolve, anomaly detection in dynamic graphs to mitigate ...

This paper addresses the dynamic task assignment problem for multiple uncrewed aerial vehicles (UAVs) operating under weak communication. Existing learning-based methods face two primary challenges: ...

Federated graph learning advances the field of federated learning by enabling privacy-preserving collaborative training on distributed graph data. Conventional federated graph learning methods excel ...