Exploring the Limitations of Current Graph Neural Networks for Network Modeling.
Martin HappJia Lei DuMatthias HerlichChristian MaierPeter DorfingerJosé Suárez-VarelaPublished in: NOMS (2022)
Keyphrases
- neural network
- network architecture
- pattern recognition
- hopfield network
- network model
- graphical representation
- strongly connected
- radial basis function network
- computer networks
- wireless sensor networks
- recurrent networks
- auto associative
- path length
- small world
- graph theoretic
- hopfield networks
- sparsely connected
- weighted graph
- genetic algorithm
- artificial neural networks
- random walk
- neural network model
- communication networks
- multi layer
- feed forward
- directed graph
- connected components
- hopfield neural network
- fully connected
- complex networks
- spanning tree
- peer to peer
- fuzzy logic
- network configuration
- graph theory
- multilayer neural network