Kernel-Based Models for Influence Maximization on Graphs based on Gaussian Process Variance Minimization.
Salvatore CuomoWolfgang ErbGabriele SantinPublished in: CoRR (2021)
Keyphrases
- gaussian process
- gaussian processes
- bayesian framework
- gaussian process models
- gaussian process regression
- model selection
- covariance function
- latent variables
- diffusion model
- probabilistic model
- hyperparameters
- greedy algorithm
- approximate inference
- social networks
- text mining
- prior knowledge
- objective function
- influence maximization
- image processing