Distilling Influences to Mitigate Prediction Churn in Graph Neural Networks.
Andreas RothThomas LiebigPublished in: CoRR (2023)
Keyphrases
- neural network
- prediction accuracy
- prediction model
- artificial neural networks to predict
- neural networks and support vector machines
- neural network ensemble
- prediction algorithm
- graph representation
- neural nets
- random walk
- predictive model
- weighted graph
- multi layer perceptron
- graph model
- bipartite graph
- directed graph
- multilayer perceptron
- pattern recognition
- fuzzy logic
- neural network model
- prediction error
- protein function prediction
- graph partitioning
- structured data
- fault diagnosis
- undirected graph
- np complete
- back propagation
- radial basis function neural network
- connected components
- spanning tree
- graph databases
- directed acyclic graph
- fuzzy systems
- graph structure
- graph matching