Mining Implicit Entity Preference from User-Item Interaction Data for Knowledge Graph Completion via Adversarial Learning
Table 3. Performance comparison of different methods for KGC task on three datasets. We use bold and underline fonts to denote the best and second best performance in each metric respectively. Besides MR, the results are given in precent (%).
['Models', 'Movie MR', 'Movie MRR', 'Movie H@1', 'Movie H@3', 'Movie H@10', 'Music MR', 'Music MRR', 'Music H@1', 'Music H@3', 'Music H@10', 'Book MR', 'Book MRR', 'Book H@1', 'Book H@3', 'Book H@10']
Here, we zoom into the results and check whether UPGAN is indeed better than baselines in specific cases. For ease of visualization, we only incorporate the results of DistMult and ConvTransE as the reference, since they perform generally well among all the baselines.