Performance Evaluation of Network Topologies using Graph-Based Deep Learning

Understanding the performance of network protocols and communication networks generally relies on expert knowledge and understanding of the different elements of a network, their configuration and the overall architecture and topology. Machine learning is often proposed as a tool to help modeling complex protocols. One drawback of this method is that high-level features are generally used - which require expert knowledge on the network protocols to be chosen, correctly engineered, and measured -- and the approaches are generally limited to a given network topology.