MAG-GNN: Reinforcement Learning Boosted Graph Neural Network.
Lecheng KongJiarui FengHao LiuDacheng TaoYixin ChenMuhan ZhangPublished in: NeurIPS (2023)
Keyphrases
- neural network
- reinforcement learning
- random walk
- graph theory
- directed graph
- genetic algorithm
- function approximation
- graph structure
- markov decision processes
- graph representation
- back propagation
- weighted graph
- graph partitioning
- connected components
- artificial neural networks
- function approximators
- model free
- neural network model
- bipartite graph
- graph matching
- feed forward
- fuzzy logic
- learning process
- decision trees
- self organizing maps
- graph model
- state space
- action space
- neural network is trained