A Genetic Algorithm with Tree-structured Mutation for Hyperparameter Optimisation of Graph Neural Networks.
Yingfang YuanWenjun WangWei PangPublished in: CoRR (2021)
Keyphrases
- genetic algorithm
- neural network
- structured data
- graph structure
- tree structure
- spanning tree
- minimum spanning tree
- artificial neural networks
- fitness function
- tree structured data
- hierarchical data structure
- fuzzy logic
- mutation operator
- multi objective
- simulated annealing
- differential evolution
- maximum weight
- population size
- tree shaped
- evolutionary algorithm
- metaheuristic
- genetic programming
- genetic algorithm ga
- graph theory
- genetic operators
- graph theoretic
- gaussian processes
- random walk
- crossover operator
- model selection
- particle swarm optimization
- pattern recognition
- multi objective optimization
- graph model
- weighted graph
- bipartite graph
- evolutionary computation
- fuzzy decision trees
- optimal solution
- root node
- mutation rate
- support vector
- crossover and mutation
- graph mining
- hyperparameters
- radial basis function
- directed graph
- ant colony optimization
- index structure