HybridGNN-SR: Combining Unsupervised and Supervised Graph Learning for Session-based Recommendation.
Kai DengJiajin HuangJin QinPublished in: ICDM (Workshops) (2020)
Keyphrases
- supervised learning
- unsupervised learning
- learning algorithm
- semi supervised
- learning tasks
- learning process
- supervised classification
- online learning
- learning problems
- learning systems
- weakly supervised
- directed acyclic graph
- reinforcement learning
- combining multiple
- labeled and unlabeled data
- unsupervised methods
- supervised and unsupervised learning
- supervised training
- random walk
- super resolution
- image classification
- active learning
- high resolution
- feature selection
- social networks
- search engine