"We suspect that these models can potentially generate malicious content that undermines medical knowledge graphs (KGs). We particularly aimed to investigate whether or not these models can be misused ...

Inspired by the latest progress of deep learning, we propose a dynamic graph fusion network (DGFN) architecture to tackle the topology and line parameter joint identification problem. The DGFN model ...

The Australian Bureau of Statistics has released its research into the labour force status of families. It found 19 per cent of all Australian families are jobless, while nearly three-quarters of ...

A network consists of two interdependent parts: the network topology or graph, consisting of the links between nodes and the network dynamics, specified by some governing equations. A crucial ...

A commonly used approach to robot pathfinding and multirobot collision avoidance is to represent environments using topological graphs. Rather than relying on precise geometric coordinates, a ...