A dataflow architecture for universal graph neural network inference via multi-queue streaming. - sharc-lab/FlowGNN ...

Graph Neural Networks (GNN) is a type of neural network specifically designed for processing graph structured data, which is very suitable for topology optimization in power systems. GNN can ...

Network planning is crucial to facilitate network service under limited network operation costs. However, adapting the network topology (i.e., connections and capacities for physical and IP links) to ...