11 What’s next: Graph analytics, machine learning, and resources
This chapter covers
- Graph analytics algorithms for pathfinding, centrality, and community detection
- Graphs in machine learning (ML)
- Helpful resources for graph theory, graph databases, and graph algorithms
Great! You’ve made it to the final chapter. It’s been a journey as we’ve switched from thinking about problems from a relational, entity-first mindset to a graph, entity-plus-relationships mindset. Even though this is the end of the book, the next phase of your journey with graphs is just beginning. So what’s next? Where do you go from here? This chapter answers these questions by providing an overview of common paths many people pursue in extending their knowledge of graphs. ...
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