Improving Skip-Gram based Graph Embeddings via Centrality-Weighted Sampling.
Pedro Almagro-BlancoFernando Sancho-CaparriniPublished in: CoRR (2019)
Keyphrases
- betweenness centrality
- weighted graph
- random walk
- complex networks
- graph connectivity
- maximum weight
- graph structure
- graph model
- social network analysis
- social networks
- graph representation
- graph matching
- bipartite graph
- graph theory
- directed graph
- graphical models
- parameter space
- community detection
- structured data
- high dimensional data
- shortest path
- graph theoretic
- graph clustering
- spectral graph
- frequent subgraph mining
- association graph
- weight matrix
- sampling strategy
- edge weights
- undirected graph
- spanning tree
- graph databases
- directed acyclic graph
- bayesian networks
- similarity measure