Scaling Graph Learning for the Enterprise

Chapter 2. The Graph Pipeline

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In Chapter 1, we gave you a glimpse into the world of Graph learning in enterprise settings. We talked about its various use cases and wrapped up the chapter by highlighting the challenges it poses. As we move forward in the book, we’re going to give you a high-level overview of the entire GML Pipeline that we’ll be exploring. From start to finish, this pipeline covers everything from collecting graph data to serving it for GML. Each stage of this pipeline will be thoroughly explored in subsequent chapters.

In this chapter, we’ll touch on the foundation stage: the Graph Data Pipeline. This initial phase, crucial for the entire process, refers to a series of processes designed to efficiently handle, process, and analyze data structured in the form of graphs. It sets the groundwork for everything that follows. Next, we’ll discuss the GML training pipeline, a series of steps designed to train and evaluate ...