To address this, recent studies propose to build entity graphs from input paragraphs and apply graph neural networks (GNNs) to aggregate the information through entity graphs (Dhingra et al., 2018;De Cao et al., 2018;Song et al., 2018a).
all of the existing work apply GNNs based on a static global entity graph of each QA pair, which can be considered as performing implicit reasoning.