Predicting Mergers and Acquisitions using Graph-based Deep Learning

Understand

The graph data structure is a staple in mathematics, yet graph-based machine learning is a relatively green field within the domain of data science.

• Recent advances in graph-based ML and open source implementations of relevant algorithms are allowing researchers to apply methods created in academia to real-world datasets.
• The goal of this project was to utilize a popular graph machine learning framework, GraphSAGE, to predict mergers and acquisitions (M&A) of enterprise companies.
• The results were promising, as the model predicted with 81.79% accuracy on a validation dataset.