Tim Ainge

This talk provides a practical introduction to graph databases and algorithms. It covers the fundamentals of what a graph is, how to extract graph data from unstructured text, and the benefits of using a schema-first approach with ontological improvements. The presentation also delves into specific graph algorithms like personalized PageRank, shortest path, and subgraph matching, illustrating their principles with accessible code examples and real-world applications.