With Emblaze, a Jupyter notebook widget developed by Carnegie Mellon University's Data Interaction Group, users can visually compare and evaluate the results of graph embedding algorithms in their machine learning applications. This tool allows for dimensionality reduction on multiple sets of embedding data and comparison using animated scatter plots, enabling users to find the best graph embedding vector for their application.