read Graph Databases in Action

• 1 - Introduction to graphs
• 2 - Graph data modeling
• 3 - Running basic and recursive traversals
• 4 - Pathfinding traversals and mutating graphs
• 5 - Formatting results
• 6 - Developing an application
• 7 - Advanced data modeling techniques
• 8 - Building traversals using known walks
• 9 - Working with subgraphs
• 10 - Performance, pitfalls, and anti-patterns
• 11 - What’s next: Graph analytics, machine learning, and resources