Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation.
Shaohua FanJunxiong ZhuXiaotian HanChuan ShiLinmei HuBiyu MaYongliang LiPublished in: KDD (2019)
Keyphrases
- neural network
- graph structure
- user preferences
- graph model
- genetic algorithm
- pattern recognition
- random walk
- back propagation
- spanning tree
- directed acyclic graph
- weighted graph
- graph mining
- graph matching
- graph representation
- neural network model
- directed graph
- collaborative filtering
- recommender systems
- artificial neural networks
- graph theoretic
- recommendation systems
- graph based algorithm
- training algorithm
- heterogeneous social networks
- self organizing maps
- structured data
- training process
- graph theory
- neural nets
- bp neural network
- multilayer perceptron
- undirected graph
- activation function
- feed forward
- social network analysis
- heterogeneous networks
- fuzzy artmap