Rule-Guided Graph Neural Networks for Recommender Systems.
Xinze LyuGuangyao LiJiaCheng HuangWei HuPublished in: ISWC (1) (2020)
Keyphrases
- recommender systems
- neural network
- collaborative filtering
- pattern recognition
- neural nets
- graph theory
- matrix factorization
- fuzzy logic
- cold start problem
- graph structure
- random walk
- user profiles
- back propagation
- graph model
- graph representation
- rule sets
- bipartite graph
- artificial neural networks
- multi layer
- neural network model
- directed graph
- connected components
- fault diagnosis
- graph theoretic
- graph data
- recommendation quality
- associative memory
- graph matching
- user model
- feed forward
- self organizing maps
- user preferences
- learning algorithm
- genetic algorithm