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Enhancing graph convolutional networks with progressive granular ball sampling fusion: A novel approach to efficient and accurate GCN training.
Hui Cong
Qiguo Sun
Xibei Yang
Keyu Liu
Yuhua Qian
Published in:
Inf. Sci. (2024)
Keyphrases
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bipartite graph
edge weights
graph model
high accuracy
computationally efficient
monte carlo
supervised learning
training samples
graph representation
recurrent networks
training data
bayesian networks
training process
granular computing
sampling algorithm
uniform sampling