How Does Bayesian Noisy Self-Supervision Defend Graph Convolutional Networks?
Jun ZhuangMohammad Al HasanPublished in: Neural Process. Lett. (2022)
Keyphrases
- random walk
- average degree
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- graph layout
- maximum likelihood
- betweenness centrality
- graph theoretic
- bipartite graph
- small world
- graph model
- link formation
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- fully connected
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- directed acyclic graph
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- graph structure
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- undirected graph
- graph databases
- gaussian processes
- path length
- bayesian inference
- network analysis
- noisy data
- citation networks
- posterior distribution
- network properties
- real world graphs
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- active learning