R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning.
Irene LiAlexander R. FabbriSwapnil HingmireDragomir R. RadevPublished in: COLING (2020)
Keyphrases
- unsupervised learning
- learning process
- learning algorithm
- supervised learning
- reinforcement learning
- active learning
- knowledge acquisition
- relational databases
- machine learning
- directed graph
- bayesian networks
- image segmentation
- learning tasks
- learning problems
- relational data
- graph structure
- inductive inference
- graph representation
- relational learning
- weakly supervised