Continual Learning of Knowledge Graph Embeddings
This work addresses the challenge of incorporating new semantic knowledge into distributed representations by applying continual learning methods to incremental knowledge graph embedding. It offers an experimental evaluation highlighting trade-offs to help practitioners choose appropriate methods for semantics-driven robotic applications.
Jan 1, 2021
