RouteNet: Leveraging Graph Neural Networks for network modeling and optimization in SDN.
Krzysztof RusekJosé Suárez-VarelaPaul AlmasanPere Barlet-RosAlbert Cabellos-AparicioPublished in: CoRR (2019)
Keyphrases
- neural network
- network architecture
- network model
- graph representation
- network structure
- distribution network
- hopfield network
- pattern recognition
- hopfield networks
- radial basis function network
- optimization problems
- complex networks
- back propagation
- network traffic
- fully connected
- spiking neural networks
- path length
- small world
- optimization algorithm
- spanning tree
- optimization method
- random walk
- multilayer neural network
- recurrent networks
- strongly connected
- neural network structure
- clustering coefficient
- overlapping communities
- random graph models
- fuzzy cognitive maps
- random graphs
- graph structure
- recurrent neural networks
- graph matching
- communication networks
- directed graph
- model checking
- evolutionary algorithm
- web services