Get started with Graph Data Science
3h
Learn Neo4j Graph Data Science fundamentals hands-on: project graphs, run and configure graph algorithms, and interpret results on a real movie dataset.
Topic
Analytics
Learn graph analytics with Neo4j — run centrality, community detection, and path finding algorithms to surface the insight hidden in connected data.
Graph analytics answers the questions that live in the connections between your data points: which account sits at the centre of a suspicious transaction ring, which supplier failure would disrupt the most downstream products, how two people are linked. Neo4j gives you two ways to run algorithms over that structure — the Graph Data Science (GDS) library on your database, and on-demand Aura Graph Analytics compute sessions. Start with Get started with Graph Data Science, then let the question you are answering choose the next course.
4 courses~7h
Aura Graph Analytics fundamentals
1h
Learn Aura Graph Analytics: on-demand, session-based graph compute. Run graph algorithms from Cypher, Python, or any driver, isolated from your DB.
Path Finding with GDS
1h
Find shortest paths in Neo4j using Cypher and Graph Data Science. Run Dijkstra and Yen graph algorithms on a weighted airport network, hands-on.
Understand centrality algorithms
2h
Master centrality graph algorithms in Aura Graph Analytics. Sort them into six families, then run each against a real network of 59,798 messages.