Inspired by the above phenomenon, we propose a new strategy named dynamic anticipation, which introduces the prediction information of the embedding-based models into the multi-hop reasoning models to guide the model learning.
Specifically, for a triple query (es, rq, ?), we use the pretrained KGE models to get the probability vector of all entities being the tail entity.