Bayesian Mesh Optimization for Graph Neural Networks to Enhance Engineering Performance Prediction.
Jangseop ParkNamwoo KangPublished in: CoRR (2024)
Keyphrases
- neural network
- prediction accuracy
- artificial intelligence
- optimization algorithm
- random walk
- neural network ensemble
- pattern recognition
- prediction model
- global optimization
- structured data
- optimization process
- optimum design
- software engineering
- fuzzy logic
- graph representation
- prediction algorithm
- efficient optimization
- fault diagnosis
- bayesian networks
- neural network model
- graph model
- bayesian inference
- graph structure
- artificial neural networks to predict
- posterior probability
- genetic algorithm
- social networks
- multi objective
- optimization problems
- back propagation
- prediction error
- maximum likelihood
- directed acyclic graph
- graph databases
- d objects
- decision theory
- graph theoretic
- optimization method
- artificial neural networks
- computer science
- graph theory
- neural networks and support vector machines
- graph matching