GRANNITE: Graph Neural Network Inference for Transferable Power Estimation.
Yanqing ZhangHaoxing RenBrucek KhailanyPublished in: DAC (2020)
Keyphrases
- neural network
- power consumption
- directed graph
- bayesian inference
- graph theory
- bayesian networks
- graph theoretic
- fuzzy logic
- graph representation
- artificial neural networks
- pattern recognition
- neural network is trained
- random walk
- back propagation
- graph structure
- fault diagnosis
- recurrent neural networks
- probabilistic inference
- neural network model
- estimation algorithm
- estimation accuracy
- clique tree
- structured data
- graphical structure
- adaptive kalman filter
- inference process
- accurate estimation
- activation function
- graph partitioning
- graph databases
- weighted graph
- multilayer perceptron
- connected components
- knn
- genetic algorithm