LASGRec: A Personalized Recommender Based on Learnable Attribute Sampling and Graph Neural Network.
Yufeng WangXun HuangJianhua MaQun JinPublished in: IEEE Trans. Comput. Soc. Syst. (2024)
Keyphrases
- neural network
- user profiles
- graph representation
- recommender systems
- structured data
- graph model
- random walk
- graph theory
- random sampling
- collaborative filtering
- genetic algorithm
- artificial neural networks
- back propagation
- directed graph
- prediction model
- monte carlo
- e learning
- pattern recognition
- fuzzy logic
- personalized recommendation
- sampling algorithm
- nearest neighbour
- neural network model
- graph databases
- graph mining
- self organizing maps
- directed acyclic graph
- weighted graph
- graph data
- adaptive learning
- graph structure
- sample size
- bipartite graph
- fault diagnosis
- user model
- radial basis function
- attribute values
- connected components
- positive and negative