Solving Maxwell's equations with Non-Trainable Graph Neural Network Message Passing.
Stefanos BakirtzisMarco FioreJie ZhangIan J. WassellPublished in: CoRR (2024)
Keyphrases
- message passing
- neural network
- belief propagation
- lp relaxation
- distributed systems
- max product
- shared memory
- probabilistic inference
- factor graphs
- tree reweighted
- approximate inference
- singly connected
- artificial neural networks
- back propagation
- junction tree
- graphical models
- markov random field
- sum product algorithm
- distributed shared memory
- mathematical model
- inference in graphical models
- sum product