Embedding Imputation With Self-Supervised Graph Neural Networks.
Uras VarolgunesShibo YaoYao MaDantong YuPublished in: IEEE Access (2023)
Keyphrases
- neural network
- graph embedding
- artificial neural networks
- graph structure
- pattern recognition
- spectral embedding
- random walk
- missing data
- missing values
- nodes of a graph
- multilayer perceptron
- fuzzy logic
- connected components
- graph model
- back propagation
- graph theoretic
- graph representation
- self organizing maps
- graph theory
- bipartite graph
- weighted graph
- graph mining
- directed graph
- activation function
- graph clustering
- graph construction
- sufficient conditions
- neural network model