Nonlinear State-Space Generalizations of Graph Convolutional Neural Networks.
Luana RuizFernando GamaAlejandro RibeiroElvin IsufiPublished in: ICASSP (2021)
Keyphrases
- convolutional neural networks
- state space
- convolutional network
- directed graph
- state variables
- heuristic search
- optimal policy
- reinforcement learning
- graph theory
- graph theoretic
- graph representation
- graph model
- weighted graph
- graph structure
- particle filter
- dynamical systems
- dynamic programming
- bipartite graph
- machine learning
- markov decision processes
- graph databases
- graph matching
- connected components
- search space
- monte carlo
- belief state
- reinforcement learning algorithms
- shortest path
- multiscale