Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems.
Chendi QianDidier ChételatChristopher MorrisPublished in: CoRR (2023)
Keyphrases
- optimization problems
- neural network
- nonlinear optimization problems
- combinatorial optimization
- cost function
- evolutionary algorithm
- convex quadratic programming
- quadratic programming
- metaheuristic
- genetic algorithm
- graph theory
- nonlinear programming
- power consumption
- discrete optimization problems
- random walk
- graph representation
- pattern recognition
- constrained problems
- subgradient method
- weighted graph
- graph structure
- neural nets
- simulated annealing
- directed graph
- optimization methods
- fuzzy logic
- set of linear equations
- quadratic program
- traveling salesman problem
- nonlinear functions
- linear constraints
- linear systems
- recurrent neural networks
- graph model
- neural network model
- graph theoretic
- convex optimization problems
- algebraic equations
- semi supervised
- graph databases
- objective function
- inverse problems in image processing