Message Passing Neural Networks for Traffic Forecasting.
Arian PrabowoHao XueWei ShaoPiotr KoniuszFlora D. SalimPublished in: CoRR (2023)
Keyphrases
- message passing
- neural network
- belief propagation
- distributed systems
- probabilistic inference
- inference in graphical models
- factor graphs
- approximate inference
- markov random field
- shared memory
- sum product algorithm
- sum product
- distributed shared memory
- artificial neural networks
- back propagation
- graphical models
- ldpc codes
- similarity measure
- graph cuts
- object recognition
- competitive learning
- loopy belief propagation
- multilayer perceptron
- matrix multiplication
- radial basis function
- conditional random fields
- bayesian networks