Towards Training GNNs Using Explanation Directed Message Passing.
Valentina GiunchigliaChirag Varun ShuklaGuadalupe GonzalezChirag AgarwalPublished in: LoG (2022)
Keyphrases
- message passing
- belief propagation
- distributed systems
- probabilistic inference
- shared memory
- inference in graphical models
- factor graphs
- distributed shared memory
- approximate inference
- ldpc codes
- markov random field
- graphical models
- sum product algorithm
- sum product
- bayesian networks
- message passing interface
- training set
- loopy belief propagation
- matrix multiplication
- preprocessing