Graph Neural Networks Inspired by Classical Iterative Algorithms.
Yongyi YangTang LiuYangkun WangJinjing ZhouQuan GanZhewei WeiZheng ZhangZengfeng HuangDavid WipfPublished in: CoRR (2021)
Keyphrases
- iterative algorithms
- neural network
- pattern recognition
- graph theory
- fuzzy logic
- dual formulation
- multi layer
- iterative methods
- structured data
- artificial neural networks
- connected components
- directed graph
- random walk
- graph structure
- back propagation
- graph theoretic
- graph representation
- genetic algorithm
- weighted graph
- training process
- graph partitioning
- graph model
- graph databases
- associative memory
- constrained optimization
- recurrent neural networks
- feed forward
- neural network model
- self organizing maps
- data mining