Learning Discrete Structures for Graph Neural Networks.
Luca FranceschiMathias NiepertMassimiliano PontilXiao HePublished in: ICML (2019)
Keyphrases
- neural network
- reinforcement learning
- pattern recognition
- learning rules
- online learning
- learning process
- supervised learning
- random walk
- genetic algorithm
- neural nets
- learning problems
- learning systems
- unsupervised learning
- artificial neural networks
- knowledge acquisition
- mobile robot
- active learning
- graph structure
- directed acyclic graph
- graph representation
- feedforward neural networks
- error back propagation
- connectionist systems