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

Network Analysis Made Simple Welcome to the GitHub repository for Network Analysis Made Simple! This is a tutorial designed to teach you the basic and practical aspects of graph theory. It has been ...

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 ...