  Numerical reasoning over texts, such as addition, subtraction, sorting and
counting, is a challenging machine reading comprehension task, since it
requires both natural language understanding and arithmetic computation. To
address this challenge, we propose a heterogeneous graph representation for the
context of the passage and question needed for such reasoning, and design a
question directed graph attention network to drive multi-step numerical
reasoning over this context graph. The code link is at:
https://github.com/emnlp2020qdgat/QDGAT
