Machine Learning and Link Prediction

Explore the intersection of machine learning and graph data structures in this 51-minute conference talk from Devoxx. Discover how combining ML algorithms with graph-based approaches can enhance prediction accuracy by incorporating crucial contextual information and relationships. Learn about link prediction analysis through a practical example of estimating future academic collaborations. Gain insights into fine-tuning measurement elements, interpreting results, and leveraging connected data to improve predictive analytics. Understand the limitations of traditional data structures in capturing behavioral patterns and see how graph-based methods can overcome these challenges, leading to more accurate and insightful predictions.

Machine learning and link prediction by Mark Needham & Jennifer Reif