Revisiting Catastrophic Forgetting in Continual Knowledge Graph Embedding

ArXi:2604.19401v1 Announce Type: cross Knowledge Graph Embeddings (KGEs) a wide range of downstream tasks over Knowledge Graphs (KGs). In practice, KGs evolve as new entities and facts are added, motivating Continual Knowledge Graph Embedding (CKGE) methods that update embeddings over time. Current CKGE approaches address catastrophic forgetting (i.e., the performance degradation on previously learned tasks) primarily by limiting changes to existing embeddings. However, we show that this view is incomplete. When new entities are To address this issue, we.