Architectural Implications for Inference of Graph Neural Networks on CGRA-based Accelerators.
Luca ZulbertiMatteo MonopoliPietro NannipieriLuca FanucciPublished in: PRIME (2022)
Keyphrases
- neural network
- directed graph
- random walk
- artificial neural networks
- graph model
- pattern recognition
- graph structure
- neural network model
- bayesian inference
- graph theory
- probabilistic inference
- graph representation
- software architecture
- clique tree
- graphical structure
- graph theoretic
- connected components
- fuzzy logic
- bayesian networks
- genetic algorithm
- multilayer perceptron
- self organizing maps
- structured data
- directed acyclic graph
- graph mining
- graphical models
- computing systems
- image segmentation