Mask-filling: Given a sequence of tables T and a question Q with [MASK], what is the word at [MASK]?
question Q：
sequence of table T：Among all the relations, we select those relations which have score greater than [MASK] It is denoted as the set Ra .
<C>Model MetaQA KG - Full  3 - hop, VRN,62.5,Model GraftNet,77.7,Model PullNet,91.4, KV - Mem,48.9,Model EmbedKGQA ,<max>94.8<bold>,<C>Model MetaQA KG - Full  1 - hop, VRN,97.5<bold>,Model GraftNet,97.0,Model PullNet,97.0, KV - Mem,96.2,Model EmbedKGQA ,<max>97.5<bold>,<C>Model MetaQA KG - 50  2 - hop  -,Model GraftNet,52.6,Model PullNet,52.1, KV - Mem,41.8,Model EmbedKGQA ,<max>91.8<bold>,<C>Model MetaQA KG - 50  3 - hop  -,Model GraftNet,59.2,Model PullNet,59.7, KV - Mem,37.6,Model EmbedKGQA ,<max>70.3<bold>,<C>Model MetaQA KG - 50  1 - hop  -,Model GraftNet,64.0,Model PullNet,65.1, KV - Mem,63.6,Model EmbedKGQA ,<max>83.9<bold>,<C>Model MetaQA KG - Full  2 - hop, VRN,89.9,Model GraftNet,94.8,Model PullNet,<max>99.9<bold>, KV - Mem,82.7,Model EmbedKGQA ,98.8,Table 2: Results on MetaQA dataset. All baseline results were taken from NAME_1 et al. (2019a). We have considered both full KG (MetaQA KG-Full) and 50% KG (MetaQA KG-50) settings. The numbers reported in this table are hits@1. Numbers in brackets correspond to a setting where text was used to augment the incomplete KG (MetaQA KG-50). For more details please refer section 5.3.1.