Remaining useful life prediction using graph convolutional attention networks with temporal convolution-aware nested residual connections.
Yupeng WeiDazhong WuJanis P. TerpennyPublished in: Reliab. Eng. Syst. Saf. (2024)
Keyphrases
- average degree
- prediction accuracy
- neural network ensemble
- prediction model
- random walk
- spatio temporal
- structured data
- temporal information
- dynamic networks
- edge weights
- small world
- network analysis
- directed acyclic graph
- temporal data
- graph structures
- fully connected
- prediction scheme
- temporal constraints
- graph theory
- prediction error
- overlapping communities
- graph theoretic
- image processing
- connected components
- community discovery
- directed graph
- network size
- visual attention
- random graphs
- graph representation
- social networks
- protein interaction networks
- sparse coding
- bipartite graph
- structural patterns
- spanning tree
- graph structure
- network structure
- social graphs