Time Series Prediction for Graphs in Kernel and Dissimilarity Spaces.
Benjamin PaaßenChristina GöpfertBarbara HammerPublished in: Neural Process. Lett. (2018)
Keyphrases
- graph kernels
- feature space
- kernel function
- kernel methods
- graph matching
- graph theoretic
- graph theory
- non stationary
- graph embedding
- dissimilarity measure
- neural network model
- artificial neural networks
- multivariate time series
- neuro fuzzy
- function approximation
- hilbert space
- graph mining
- weighted graph
- graph databases
- gaussian processes
- machine learning
- recurrent neural networks
- support vector
- ls svm
- graph representation
- riemannian manifolds
- kernel machines
- directed graph
- positive definite
- pairwise