Accurate, Efficient and Scalable Training of Graph Neural Networks.
Hanqing ZengHongkuan ZhouAjitesh SrivastavaRajgopal KannanViktor K. PrasannaPublished in: CoRR (2020)
Keyphrases
- neural network
- training process
- computationally efficient
- highly scalable
- multi layer perceptron
- training algorithm
- feed forward neural networks
- random walk
- pattern recognition
- test set
- directed graph
- limited memory
- feedforward neural networks
- weighted graph
- connected components
- self organizing maps
- high accuracy
- artificial neural networks
- pairwise
- high quality
- genetic algorithm
- structured data
- graph matching
- recurrent neural networks
- online learning
- fuzzy logic
- spanning tree
- graph representation
- graph theoretic
- memory efficient
- data sets