Effect of Cluster-based Sampling on the Over-smoothing Issue in Graph Neural Network.
Thi Linh HoangViet Cuong TaPublished in: KSE (2022)
Keyphrases
- neural network
- graph matching
- graph representation
- graph theory
- directed graph
- fault diagnosis
- back propagation
- graph partitioning
- sampling algorithm
- connected components
- directed acyclic graph
- neural nets
- bipartite graph
- sampling strategy
- random sampling
- fuzzy artmap
- weighted graph
- neural network is trained
- prediction model
- sample size
- random walk
- artificial neural networks
- graph structure
- feed forward
- network model
- neural network model
- structured data
- fuzzy logic
- smoothing algorithm
- pattern recognition