Graph Neural Networks for Image Classification and Reinforcement Learning using Graph representations.
Naman GoyalDavid SteinerPublished in: CoRR (2022)
Keyphrases
- graph representations
- image classification
- neural network
- reinforcement learning
- graph structure
- graph theory
- graph representation
- graph kernels
- learning algorithm
- pattern recognition
- feature extraction
- learning problems
- state space
- graph model
- transfer learning
- supervised learning
- gaussian processes
- similarity measure