CNN-based Dual-Chain Models for Knowledge Graph Learning
Table 10: Comparison between CDC and ConvE
['method', 'WN18 MR', 'WN18 H@10', 'FB15k MR', 'FB15k H@10', 'YAGO3-10 MR', 'YAGO3-10 H@10', 'FB15k-237 MR', 'FB15k-237 H@10']
The results of ConvE are cited from its paper. On almost all the datasets, without data augmentation, CDC can still achieve similar or even better performance than ConvE. It demonstrates that the CNN architecture used in CDC is very competitive or even better compared to the CNN architecture used in ConvE.