MultiKE: a Multi view Knowledge Graph Embedding Framework for Entity Alignment
We study the problem of embedding based entity alignment (EA) between knowledge graphs (KGs) and propose a novel framework that unifies multiple views of entities to learn their embeddings. Experiments on real world datasets show that this framework largely outperforms the current embedding based methods.
OM@ISWC