TuneUp: A Training Strategy for Improving Generalization of Graph Neural Networks.
Weihua HuKaidi CaoKexin HuangEdward W. HuangKarthik SubbianJure LeskovecPublished in: CoRR (2022)
Keyphrases
- neural network
- training process
- training algorithm
- feedforward neural networks
- multi layer perceptron
- feed forward neural networks
- backpropagation algorithm
- training patterns
- fuzzy logic
- back propagation
- training data
- learning machines
- graph representation
- neural network structure
- graph partitioning
- graph matching
- training set
- training phase
- error back propagation
- graph theory
- directed graph
- random walk
- graph structure
- directed acyclic graph
- recurrent neural networks
- neural network training
- neural network model
- graph theoretic
- recurrent networks
- artificial neural networks
- radial basis function network
- online learning
- data sets
- genetic algorithm
- bayesian networks
- semi supervised
- text classification
- feed forward
- spanning tree
- fuzzy systems
- weighted graph