It can be seen that the proposed Memory QA model outperforms other QA baselines for precision at all ks.
with the MGN walker model, the MemQA model learns to condition its walk path on query contexts and attend and expand memory nodes, thus outperforming the baseline models that simply rely on their initial memory slots, typically large in size to maintain reasonable recall.