Reinforcement Learning Enhanced Explainer for Graph Neural Networks.
Caihua ShanYifei ShenYao ZhangXiang LiDongsheng LiPublished in: NeurIPS (2021)
Keyphrases
- neural network
- reinforcement learning
- function approximators
- function approximation
- learning capabilities
- pattern recognition
- fuzzy logic
- random walk
- machine learning
- graph representation
- graph model
- weighted graph
- graph structure
- graph theory
- directed graph
- structured data
- learning algorithm
- fuzzy systems
- genetic algorithm
- reinforcement learning algorithms
- graph theoretic
- multilayer perceptron
- optimal policy
- transfer learning
- state space
- spanning tree
- clustering algorithm
- bipartite graph
- reward function
- markov decision processes
- recurrent neural networks