Generalized graphlet kernels for probabilistic inference in sparse graphs.
Jose Lugo-MartinezPredrag RadivojacPublished in: Netw. Sci. (2014)
Keyphrases
- probabilistic inference
- graphical models
- bayesian networks
- conditional probabilities
- influence diagrams
- approximate inference
- weighted model counting
- message passing
- context specific independence
- belief networks
- exact inference
- variable elimination
- elimination algorithm
- high dimensional
- bayesian belief networks
- graph structure
- graph theory
- linear combination
- random variables
- kernel methods
- learning algorithm
- probability distribution
- probabilistic model
- dynamic programming
- training set
- feature space
- support vector
- optimal solution
- similarity measure