Large Scale Training of Graph Neural Networks for Optimal Markov-Chain Partitioning Using the Kemeny Constant.
Sam Alexander MartinoJoão MoradoChenghao LiZhenghao LuEdina RostaPublished in: CoRR (2023)
Keyphrases
- markov chain
- neural network
- random walk
- transition matrix
- transition probabilities
- finite state
- training process
- steady state
- monte carlo
- monte carlo method
- markov model
- markov process
- stationary distribution
- state space
- training algorithm
- monte carlo simulation
- artificial neural networks
- dynamic programming
- back propagation
- maximum likelihood estimation
- reinforcement learning
- genetic algorithm