Unbiased Stochastic Proximal Solver for Graph Neural Networks with Equilibrium States.
Mingjie LiYifei WangYisen WangZhouchen LinPublished in: ICLR (2023)
Keyphrases
- neural network
- pattern recognition
- graph structure
- state transition
- graph theory
- graph representation
- graph theoretic
- weighted graph
- structured data
- random walk
- monte carlo
- directed graph
- recurrent neural networks
- graph databases
- artificial neural networks
- directed acyclic graph
- hidden markov models
- fuzzy logic
- back propagation
- bipartite graph
- spanning tree
- graph matching
- feed forward
- neural network model
- game theory
- transition matrix
- belief state
- nash equilibria
- graph model
- training process
- neural nets
- fault diagnosis
- genetic algorithm