Accurate, efficient and scalable training of Graph Neural Networks.
Hanqing ZengHongkuan ZhouAjitesh SrivastavaRajgopal KannanViktor K. PrasannaPublished in: J. Parallel Distributed Comput. (2021)
Keyphrases
- neural network
- training process
- computationally efficient
- highly scalable
- pattern recognition
- feedforward neural networks
- data sets
- high quality
- highly accurate
- multi layer perceptron
- lightweight
- memory efficient
- supervised learning
- fuzzy logic
- artificial neural networks
- feed forward neural networks
- single pass
- backpropagation algorithm
- spanning tree
- neural network training
- weighted graph
- graph theory
- bipartite graph
- multilayer perceptron
- connected components
- structured data
- random walk
- high accuracy
- genetic algorithm
- machine learning