ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks.
Yuelin WangKai YiXinliang LiuYu Guang WangShi JinPublished in: ICLR (2023)
Keyphrases
- message passing
- neural network
- belief propagation
- distributed systems
- shared memory
- probabilistic inference
- tree reweighted
- junction tree
- markov random field
- factor graphs
- singly connected
- max product
- graphical models
- inference in graphical models
- sum product
- sum product algorithm
- artificial neural networks
- distributed shared memory
- approximate inference
- back propagation
- matrix multiplication
- loopy belief propagation
- message passing interface
- image processing
- object recognition
- computer vision