Rule-Guided Graph Neural Networks for Recommender Systems.
Xinze LyuGuangyao LiJiaCheng HuangWei HuPublished in: CoRR (2020)
Keyphrases
- recommender systems
- neural network
- collaborative filtering
- graph theory
- user preferences
- user modeling
- information overload
- connected components
- graph structure
- image segmentation
- graph representation
- graph model
- bipartite graph
- matrix factorization
- neural network model
- pattern recognition
- user profiles
- fault diagnosis
- graph based algorithm
- association rules
- fuzzy logic
- directed acyclic graph
- back propagation
- neural nets
- structured data
- feed forward
- rule sets
- random walk
- fuzzy systems
- recommendation systems
- artificial neural networks
- recurrent neural networks
- user profiling