CongestionNet: Routing Congestion Prediction Using Deep Graph Neural Networks.
Robert KirbySaad GodilRajarshi RoyBryan CatanzaroPublished in: VLSI-SoC (2019)
Keyphrases
- neural network
- prediction accuracy
- artificial neural networks to predict
- dynamic routing
- prediction model
- fuzzy logic
- graph representation
- pattern recognition
- artificial neural networks
- multi layer perceptron
- graph structure
- back propagation
- directed graph
- packet transmission
- neural network ensemble
- graph model
- prediction error
- weighted graph
- genetic algorithm
- shortest path
- neural network model
- routing algorithm
- protein function prediction
- radial basis function network
- graph theory
- random walk
- neural networks and support vector machines
- multilayer perceptron
- directed acyclic graph
- feed forward
- self organizing maps
- ip networks
- random graphs
- graph mining
- traffic congestion
- congestion control
- structured data
- ad hoc networks
- routing problem
- travel time
- packet loss