DRGN: a dynamically reconfigurable accelerator for graph neural networks.
Chen YangKaibo HuoLong-Fei GengKuizhi MeiPublished in: J. Ambient Intell. Humaniz. Comput. (2023)
Keyphrases
- neural network
- graph theory
- random walk
- graph representation
- graph structure
- back propagation
- artificial neural networks
- pattern recognition
- graph theoretic
- multi layer
- connected components
- neural nets
- genetic algorithm
- dependency graph
- fault diagnosis
- directed graph
- graph mining
- weighted graph
- link analysis
- stable set
- graphical representation
- graph data
- adjacency matrix
- graph based algorithm
- parallel implementation
- fuzzy systems
- bipartite graph
- self organizing maps
- fuzzy logic
- probabilistic model
- machine learning