Different with those methods that still follow previous works that rely on learned entity embeddings to rank alignments,<cite> Xu et al. (2019)</cite> views this task as a graph matching problem and further proposes a graph matching neural network that additionally considers the matching information of an entity's neighborhood to perform the prediction.