Moreover, a meta-learner is further adopted to learn a initial representation of the model that can be easily adapted to unseen relations and entities.
for WDtext, Con-Mask is a strong baseline and has a better result on Hits@10 and Hits@5, but it performs worse on Hits@1 and MRR compared to our framework.