HetGNN-SF: Self-supervised learning on heterogeneous graph neural network via semantic strength and feature similarity.
Chao LiXinming LiuYeyu YanZhongying ZhaoQingtian ZengPublished in: Appl. Intell. (2023)
Keyphrases
- neural network
- learning algorithm
- learning process
- learning tasks
- learning systems
- supervised learning
- graph theory
- online learning
- self organizing maps
- prior knowledge
- natural language
- learning environment
- unsupervised learning
- semantic information
- bayesian networks
- high level
- recurrent neural networks
- feature selection
- graph model
- graph representation
- feedforward neural networks