Yuheng He

Lambda: Learning Matchable Prior For Entity Alignment with Unlabeled Dangling Cases

We investigate the entity alignment (EA) problem with unlabeled dangling cases, meaning that partial entities have no counterparts in the other knowledge graph (KG), yet these entities are unlabeled. The problem arises when the source and target graphs are of different scales, and it is much cheaper…