R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning.
Irene LiAlexander R. FabbriSwapnil HingmireDragomir R. RadevPublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- learning process
- learning algorithm
- learning systems
- supervised learning
- unsupervised learning
- neural network
- weakly supervised
- training set
- prior knowledge
- active learning
- image segmentation
- knowledge acquisition
- semi supervised learning
- feature selection
- directed graph
- learning tasks
- relational data
- weighted graph
- inductive inference
- graph representation
- dirichlet process mixture models