Link prediction explores the problem of predicting new relationships in a graph based on the topology that already exists.

This has been an area of research for many years, and in the last month we've introduced link prediction algorithms to the Neo4j Graph Algorithms library.

In this session Amy and Mark explain the problem in more detail, describe the approaches that can be taken, and the challenges that have to be addressed.

We finish by going through a worked example showing how to apply these approaches using Graph Algorithms and the popular sciki-learn machine learning library.

Presenters: @AmyH & @mark.needham