Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning.
Di JinCuiying HuoJianwu DangPeican ZhuWeixiong ZhangWitold PedryczLingfei WuPublished in: CoRR (2022)
Keyphrases
- learning experience
- learning process
- learning tasks
- neural network
- learning algorithm
- learning problems
- pattern recognition
- active learning
- back propagation
- graph mining
- knowledge acquisition
- supervised learning
- learning environment
- unsupervised learning
- data sets
- background knowledge
- prior knowledge
- graph matching
- incremental learning
- neural nets
- machine learning
- learning scheme
- inductive inference
- feedforward neural networks