DeepTMA: Predicting Effective Contention Models for Network Calculus using Graph Neural Networks.
Fabien GeyerSteffen BondorfPublished in: INFOCOM (2019)
Keyphrases
- neural network
- accurate models
- neural network model
- random graphs
- fully connected
- artificial neural networks
- peer to peer
- network architecture
- network structure
- recurrent neural networks
- neural nets
- spanning tree
- radial basis function network
- hopfield networks
- network evolution
- graph theoretic
- learning rules
- complex networks
- structured data
- back propagation
- learning algorithm