A Meta-Learning Approach for Graph Representation Learning in Multi-Task Settings.
Davide BuffelliFabio VandinPublished in: CoRR (2020)
Keyphrases
- learning tasks
- meta learning
- multi task
- multi task learning
- graph representation
- learning problems
- inductive learning
- multiple tasks
- machine learning
- transfer learning
- supervised learning
- model selection
- learning algorithm
- learning process
- reinforcement learning
- sparse learning
- data sets
- text classification
- gaussian processes
- unsupervised learning
- knowledge acquisition
- classification accuracy
- prior knowledge
- training data
- decision trees