Challenging the generalization capabilities of Graph Neural Networks for network modeling.
José Suárez-VarelaSergi Carol-BoschKrzysztof RusekPaul AlmasanMarta AriasPere Barlet-RosAlbert Cabellos-AparicioPublished in: SIGCOMM Posters and Demos (2019)
Keyphrases
- generalization capabilities
- neural network
- radial basis function
- network model
- hopfield network
- random walk
- artificial neural networks
- peer to peer
- network architecture
- graph theory
- graph representation
- random graphs
- radial basis function network
- link prediction
- search space
- pattern recognition
- directed acyclic graph
- fuzzy cognitive maps
- edge weights
- graphical representation
- fully connected
- hopfield networks
- spanning tree
- neural network model
- directed graph
- complex networks
- wireless sensor networks
- genetic algorithm
- bipartite graph
- multilayer perceptron
- path length
- network traffic
- fuzzy logic
- dynamic networks
- recurrent networks
- computer vision