Probabilistic Embeddings with Laplacian Graph Priors.
Väinö YrjänäinenMåns MagnussonPublished in: CoRR (2022)
Keyphrases
- learned from training data
- graph laplacian
- bayesian networks
- laplacian matrix
- graph structure
- graph representation
- directed graph
- graph theory
- random walk
- spectral decomposition
- probabilistic model
- prior probabilities
- low dimensional
- bipartite graph
- weighted graph
- generalized em algorithm
- graph theoretic
- graph partitioning
- spanning tree
- graph mining
- directed acyclic graph
- uncertain data
- bayesian framework
- maximum a posteriori
- dimensionality reduction
- prior knowledge
- belief networks
- posterior probability
- neighborhood graph
- heat kernel
- generative model
- edge detection