Nonlinear State-Space Generalizations of Graph Convolutional Neural Networks.
Luana RuizFernando GamaAlejandro RibeiroElvin IsufiPublished in: CoRR (2020)
Keyphrases
- convolutional neural networks
- state space
- convolutional network
- heuristic search
- reinforcement learning
- graph theory
- markov decision processes
- graph theoretic
- graph representation
- random walk
- optimal policy
- graph structure
- dynamic programming
- directed graph
- graph partitioning
- graph model
- dynamical systems
- planning problems
- structured data
- markov chain
- directed acyclic graph
- state variables
- initial state
- action space
- markov decision process
- weighted graph
- control system
- multiscale
- reinforcement learning algorithms
- graph databases
- graph matching
- connected components
- particle filter