Graph enhancements to AI and ML are changing the landscape of intelligent applications.
In this session, we’ll focus on how using connected features can help improve the accuracy, precision, and recall of machine learning models.
You’ll learn how graph algorithms can provide more predictive features as well as aid in feature selection to reduce overfitting. We’ll look at a link prediction example to predict collaboration with measurable improvement when including graph-based features.