Causality-based CTR prediction using graph neural networks.
Panyu ZhaiYanwu YangChunjie ZhangPublished in: Inf. Process. Manag. (2023)
Keyphrases
- neural network
- artificial neural networks to predict
- prediction model
- prediction accuracy
- pattern recognition
- graph theory
- protein function prediction
- radial basis function network
- artificial neural networks
- random walk
- connected components
- graph representation
- prediction error
- neural network ensemble
- prediction algorithm
- graph structure
- graph matching
- directed graph
- genetic algorithm
- multi layer
- spanning tree
- fault diagnosis
- fuzzy logic
- graph mining
- causal models
- bipartite graph
- predictive model
- graph based algorithm
- chaotic time series
- neural networks and support vector machines