EGG-GAE: scalable graph neural networks for tabular data imputation.
Lev TelyatnikovSimone ScardapanePublished in: AISTATS (2023)
Keyphrases
- neural network
- data imputation
- missing values
- missing data
- pattern recognition
- graph structure
- random walk
- graph model
- fuzzy logic
- weighted graph
- neural nets
- graph representation
- directed graph
- structured data
- connected components
- back propagation
- neural network model
- graph theoretic
- data sets
- graph theory
- machine learning
- recurrent neural networks
- multilayer perceptron
- graph matching
- rough sets
- probabilistic model
- high dimensional
- feature extraction
- genetic algorithm