RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation.
Cheng HsuCheng-Te LiPublished in: WWW (2021)
Keyphrases
- neural network
- pattern recognition
- spatial and temporal
- structured data
- fuzzy logic
- random walk
- temporal data
- graph representation
- collaborative filtering
- graph model
- recommendation systems
- graph theoretic
- recommender systems
- graph structure
- graph theory
- relational data
- relational structures
- spatio temporal
- user preferences
- artificial neural networks
- relational databases
- database
- temporal constraints
- weighted graph
- data model
- personalized recommendation
- pre attentive
- temporal patterns
- recurrent neural networks
- multilayer perceptron
- neural network model
- directed graph
- temporal information
- directed acyclic graph
- graph databases
- temporal databases
- rewriting rules
- self organizing maps