Understanding the message passing in graph neural networks via power iteration clustering.
Xue LiYuanzhi ChengPublished in: Neural Networks (2021)
Keyphrases
- message passing
- neural network
- belief propagation
- graph theoretic
- self organizing maps
- distributed systems
- factor graphs
- graph partitioning
- sum product algorithm
- distributed shared memory
- max product
- inference in graphical models
- singly connected
- probabilistic inference
- shared memory
- clustering algorithm
- markov random field
- junction tree
- power consumption
- graphical models
- k means
- approximate inference
- matrix multiplication
- sum product
- data points
- ldpc codes
- graph cuts