CGCNImp: a causal graph convolutional network for multivariate time series imputation.
Caizheng LiuGuangfan CuiShenghua LiuPublished in: PeerJ Comput. Sci. (2022)
Keyphrases
- multivariate time series
- causal graph
- convolutional network
- convolutional neural networks
- missing values
- coarse to fine
- missing data
- causal models
- planning problems
- feature extractor
- categorical data
- state variables
- dimension reduction
- spatial structure
- temporal data
- multiscale
- temporal patterns
- autoregressive
- human motion
- feature extraction
- high dimensional data
- object detection
- state space
- dynamic programming
- multiresolution