LoNe Sampler: Graph node embeddings by coordinated local neighborhood sampling.
Konstantin KutzkovPublished in: CoRR (2022)
Keyphrases
- graph structure
- monte carlo
- directed graph
- sequential monte carlo
- markov chain monte carlo
- metropolis hastings
- gibbs sampler
- neighborhood graph
- neighborhood structure
- manifold learning
- minimal spanning tree
- graph theory
- markov chain
- random walk
- undirected graph
- affinity graph
- graph model
- nodes of a graph
- edge weights
- root node
- bayesian inference
- tree structure
- finding the shortest path
- betweenness centrality
- cooperative
- random sampling
- parameter space
- graph representation
- sampling algorithm
- importance sampling
- posterior distribution
- weighted graph
- graph matching
- vector space
- sample size
- low dimensional
- spanning tree
- directed acyclic graph
- overlapping communities
- particle filter
- multi agent