Graph algorithms and features can improve machine learning predictions by adding relationship data. Connected feature engineering extracts metrics like common neighbors and clustering from graph networks to enrich existing ML models. A demo shows applying graph algorithms to book character data to predict new relationships, highlighting how graphs increase predictive power through network structure.