  One of the key components in analyzing the risk of a company is understanding
a company's supply chain. Supply chains are constantly disrupted, whether by
tariffs, pandemics, severe weather, etc. In this paper, we tackle the problem
of predicting previously unknown suppliers and customers of companies using
graph neural networks (GNNs) and show strong performance in finding previously
unknown connections by combining the predictions of our model and the domain
expertise of supply chain analysts.
