MAG-GNN: Reinforcement Learning Boosted Graph Neural Network.
Lecheng KongJiarui FengHao LiuDacheng TaoYixin ChenMuhan ZhangPublished in: CoRR (2023)
Keyphrases
- neural network
- reinforcement learning
- artificial neural networks
- graph structure
- back propagation
- graph theory
- graph representation
- random walk
- graph matching
- pattern recognition
- self organizing maps
- reinforcement learning algorithms
- connected components
- neural network model
- function approximation
- graph model
- directed graph
- function approximators
- structured data
- learning algorithm
- neural network is trained
- markov decision processes
- bp neural network
- temporal difference
- fuzzy logic
- learning vector quantization
- graph theoretic
- learning capabilities
- recurrent neural networks
- random forests
- directed acyclic graph
- multi layer
- optimal control
- neural nets
- prediction model
- multilayer perceptron
- feed forward
- state space
- machine learning