Message Passing Query Embedding
Table 1: Results on query answering averaged across different query structures. Highlighted values denote the best variant within each group of GQE and MPQE models.
['Method', 'AIFB AUC', 'AIFB APR', 'MUTAG AUC', 'MUTAG APR', 'AM AUC', 'AM APR', 'Bio AUC', 'Bio APR']
Query answering We report the area under the ROC curve (AUC) and the Average Percentile Rank (APR) on the test set. We observe that MPQE obtains competitive performance in comparison with GQE across different datasets. MPQE underperforms in the MUTAG dataset, which we identified as the dataset with the least diverse set of relations. We noticed that while GQE-DistMult handles hard negative samples well (which occur only on queries with intersections), MPQE-TM has better performance on regular samples, across all query structures.