Reversible and irreversible bracket-based dynamics for deep graph neural networks.
Anthony GruberKookjin LeeNathaniel TraskPublished in: CoRR (2023)
Keyphrases
- neural network
- graph structure
- pattern recognition
- graph model
- artificial neural networks
- recurrent networks
- graph matching
- cellular automata
- directed graph
- fuzzy logic
- markov chain
- back propagation
- dynamical systems
- genetic algorithm
- random walk
- rule extraction
- graph construction
- graph theoretic
- graph search
- graph representation
- graph partitioning
- spanning tree
- graph based algorithm
- dynamic model
- directed acyclic graph
- multi layer
- graph theory
- bipartite graph
- multilayer perceptron
- neural network model
- connected components
- undirected graph
- multi layer perceptron
- self organizing maps
- fault diagnosis
- dependency graph
- graphical models
- learning algorithm
- stable set