Elastic Weight Consolidation for Knowledge Graph Continual Learning: An Empirical Evaluation

Gaganpreet Jhajj, Fuhua Lin

Knowledge graphs (KGs) require continual updates as new information emerges, but neural embedding models suffer from catastrophic forgetting when learning new tasks sequentially. W…