Improving Machine Learning Predictions Using Graph Algorithms [Video]

Graph enhancements to artificial intelligence (AI) and machine learning (ML) are changing the landscape of intelligent applications.

Check out this webinar on graph algorithms’ impact on the landscape of intelligent applications.

For more videos like this one, check out upcoming and on-demand video content in the Neo4j Webinar library.

In this session, we focus on how using connected features improves the accuracy, precision and recall of machine learning models. We discuss how graph algorithms provide more predictive features and aid in feature selection that reduces overfitting.

We also look at a link prediction example that highlights how graph-based features infer collaboration with measurable improvement.

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