The Feast of Graphs¶
A tutorial series on knowledge graph analytics with Memgraph
You've ingested your data into a graph. Now it's time to actually use it.
This series takes you from "what is this?" to "I can derive new knowledge from structure alone."
What You'll Learn¶
This six-part series takes you from "what is this?" to "I can derive new knowledge from structure alone." By the end, you'll be able to:
- Navigate a knowledge graph with confidence
- Write Cypher queries that find what you need
- Trace multi-hop paths through connected concepts
- Measure importance with centrality algorithms
- Discover hidden communities in your data
- Forge new rules from graph structure
The Data¶
All examples use real data from a software design textbook:
- ~400 concepts extracted from Chapter 5 on implementation hiding
- ~25 relationships showing how concepts connect (REQUIRES, SUPPORTS, etc.)
- 7 explicit rules about encapsulation, properties, and information hiding
Prerequisites¶
Before starting, ensure you have:
- Memgraph running:
qortex infra up - Data ingested:
qortex ingest your-chapter.txt --domain your_domain - Memgraph Lab open: http://localhost:3000
The Journey¶
| Part | Title | What You'll Master |
|---|---|---|
| 1 | Welcome to the Hall | Orientation, first queries, seeing the shape |
| 2 | The Tongue of Queries | Cypher patterns, filtering, aggregation |
| 3 | Following the Thread | Variable-length paths, shortest paths |
| 4 | Measuring Worth | Degree centrality, PageRank |
| 5 | The Tribes Within | Community detection, clustering |
| 6 | Forging New Rules | Rule derivation from structure |
Ready? Let's begin.