Investigating Transfer Learning in Graph Neural Networks.
Nishai KooverjeeSteven JamesTerence L. van ZylPublished in: CoRR (2022)
Keyphrases
- transfer learning
- neural network
- knowledge transfer
- learning tasks
- reinforcement learning
- cross domain
- labeled data
- active learning
- multi task learning
- domain adaptation
- semi supervised learning
- multi task
- pattern recognition
- manifold alignment
- machine learning
- structure learning
- collaborative filtering
- transfer knowledge
- machine learning algorithms
- algorithmic information theory
- target domain
- unlabeled data
- text classification
- graph based semi supervised learning
- transferring knowledge
- logistic regression
- text categorization
- fuzzy neural network
- graphical models
- text mining
- association rules
- learning algorithm
- data mining