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HAT-GAE: Self-supervised graph autoencoders with hierarchical adaptive masking and trainable corruption.
Chengyu Sun
Liang Hu
Hongtu Li
Shuai Li
Tuohang Li
Ling Chi
Published in:
Knowl. Based Syst. (2023)
Keyphrases
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random walk
denoising
directed graph
graph theory
bipartite graph
graph based algorithm
structured data
graph matching
graph structure
weighted graph
dependency graph
graph model
graph representation
data corruption
machine learning
stable set
graph data
coarse to fine
data driven
graphical models
image processing