HeteGraph: graph learning in recommender systems via graph convolutional networks.
Dai Hoang TranQuan Z. ShengWei Emma ZhangAbdulwahab AljubairyMunazza ZaibSalma Abdalla HamadNguyen Hoang TranNguyen Lu Dang KhoaPublished in: Neural Comput. Appl. (2023)
Keyphrases
- recommender systems
- fully connected
- graph representation
- learning systems
- learning process
- bipartite graph
- learning algorithm
- graph structure
- graph mining
- weighted graph
- graph theory
- graph matching
- graph theoretic
- connected components
- deep learning
- random walk
- graph structures
- community discovery
- graph partitioning
- directed acyclic graph
- learning tasks
- structured data
- supervised learning
- active learning
- social networks