Spaceland Embedding of Sparse Stochastic Graphs.
Nikos PitsianisAlexandros-Stavros IliopoulosDimitris FlorosXiaobai SunPublished in: CoRR (2019)
Keyphrases
- graph embedding
- high dimensional
- spectral embedding
- monte carlo
- graph theory
- directed graph
- dictionary learning
- gaussian graphical models
- stochastic model
- directed acyclic
- densely connected
- learning automata
- stochastic optimization
- random projections
- graph theoretic
- graph structure
- graph matching
- reinforcement learning
- graph databases
- sparse representation
- subgraph isomorphism
- graph structures
- information hiding
- random graphs
- compressive sensing
- sparse data
- graph representation