Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN.
Krzysztof RusekJosé Suárez-VarelaAlbert MestresPere Barlet-RosAlbert Cabellos-AparicioPublished in: CoRR (2019)
Keyphrases
- neural network
- network architecture
- hopfield networks
- pattern recognition
- computer networks
- hopfield network
- optimization problems
- dynamic networks
- spanning tree
- neural nets
- hopfield neural network
- network traffic
- fuzzy logic
- complex networks
- optimization algorithm
- random walk
- path length
- graph theory
- graph theoretic
- strongly connected
- overlapping communities
- spiking neural networks
- distribution network
- network configuration
- graph representation
- attack graph
- graph structure
- bipartite graph
- link prediction
- communication networks
- feed forward
- neural network model
- directed graph
- genetic algorithm
- graph mining
- artificial neural networks
- peer to peer
- network structure
- neural network structure
- optimization method
- recurrent networks
- radial basis function network
- small world
- graphical representation
- weighted graph