SES: Bridging the Gap Between Explainability and Prediction of Graph Neural Networks.
Zhenhua HuangKunhao LiShaojie WangZhaohong JiaWentao ZhuSharad MehrotraPublished in: CoRR (2024)
Keyphrases
- neural network
- prediction model
- prediction accuracy
- pattern recognition
- artificial neural networks to predict
- random walk
- artificial neural networks
- neural networks and support vector machines
- graph databases
- graph matching
- graph model
- graph theory
- multi layer
- genetic algorithm
- prediction algorithm
- graph partitioning
- fuzzy logic
- graph structure
- neural nets
- neural network model
- directed graph
- elman network
- neural network ensemble
- protein function prediction
- weighted graph
- graph representation
- predictive model
- dependency graph
- activation function
- connected components
- undirected graph
- feed forward
- fuzzy neural network
- link analysis
- prediction error