082 Link Prediction With Graph Data Science at Scale – NODES2022 – Florentin Dörre

Predicting links in a graph is a common use, for example, to predict future friends. However, for bigger graphs, it is not computationally feasible to consider every node pair to find the best. In this talk, we will demonstrate how to use Neo4j Graph Data Science to predict links on larger graphs.

Speakers: Florentin Dörre
Format: Lighting Talk 10-15 min
Level: Beginner
Topics: #GraphDataScience, #Performance, #General, #Beginner
Region: EMEA
Slides: https://dist.neo4j.com/nodes-20202-slides/082%20Link%20Prediction%20With%20Graph%20Data%20Science%20at%20Scale%20-%20NODES2022%20EMEA%20Beginner%205%20-%20Florentin%20Do%CC%88rre.pdf

Visit https://neo4j.com/video/nodes-2022/ learn more at https://neo4j.com/developer/get-started and engage at https://community.neo4j.com