Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN.
Krzysztof RusekJosé Suárez-VarelaAlbert MestresPere Barlet-RosAlbert Cabellos-AparicioPublished in: SOSR (2019)
Keyphrases
- neural network
- spanning tree
- network model
- pattern recognition
- radial basis function network
- network architecture
- hopfield networks
- network structure
- graphical representation
- hopfield network
- recurrent networks
- optimization problems
- structured data
- fully connected
- distribution network
- hopfield neural network
- graph representation
- fuzzy logic
- multilayer perceptron
- community discovery
- complex networks
- neural network structure
- graph structure
- communication networks
- back propagation
- artificial neural networks
- graph model
- peer to peer
- clustering coefficient
- degree distribution
- optimization method
- overlapping communities
- highly non linear