Cost-aware Graph Generation: A Deep Bayesian Optimization Approach.
Jiaxu CuiBo YangBingyi SunJiming LiuPublished in: AAAI (2021)
Keyphrases
- min sum
- belief nets
- graph representation
- bayesian networks
- optimization algorithm
- optimization process
- graph theory
- global optimization
- optimization problems
- random walk
- generation process
- graph theoretic
- maximum likelihood
- graph databases
- optimal solution
- monte carlo sampling
- maximum flow
- path length
- high cost
- constrained optimization
- directed acyclic graph
- total cost
- bayesian inference
- optimization method
- cost sensitive
- graph matching