LoNe Sampler: Graph Node Embeddings by Coordinated Local Neighborhood Sampling.
Konstantin KutzkovPublished in: AAAI (2023)
Keyphrases
- graph structure
- directed graph
- monte carlo
- sequential monte carlo
- metropolis hastings
- neighborhood graph
- markov chain monte carlo
- gibbs sampler
- manifold learning
- undirected graph
- random walk
- neighborhood structure
- graph representation
- tree structure
- multi agent
- nodes of a graph
- parameter space
- graph matching
- minimal spanning tree
- path length
- bayesian inference
- overlapping communities
- edge weights
- cooperative
- random sampling
- markov chain
- finding the shortest path
- sampling algorithm
- root node
- strongly connected
- directed acyclic graph
- graphical models
- affinity graph
- sample size
- connected components
- graph theory
- posterior distribution
- graph databases
- gibbs sampling
- high dimensional data
- euclidean space
- maximum likelihood
- distance measure
- principal component analysis