Time Series Prediction for Graphs in Kernel and Dissimilarity Spaces.
Benjamin PaaßenChristina GöpfertBarbara HammerPublished in: CoRR (2017)
Keyphrases
- graph kernels
- feature space
- non stationary
- artificial neural networks
- kernel function
- kernel methods
- graph embedding
- neuro fuzzy
- gaussian processes
- support vector
- neural network model
- moving average
- hilbert space
- multivariate time series
- graph databases
- function approximation
- dissimilarity measure
- graph theory
- random graphs
- kernel machines
- pairwise
- graph mining
- ls svm
- prediction model
- structured data
- similarity measure