Overview
Tackle the core challenges related to enterprise-ready graph representation and learning. With this hands-on guide, applied data scientists, machine learning engineers, and practitioners will learn how to build an E2E graph learning pipeline. You'll explore core challenges at each pipeline stage, from data acquisition and representation to real-time inference and feedback loop retraining.
Drawing on their experience building scalable and production-ready graph learning pipelines, the authors take you through the process of building the E2E graph learning pipeline in a world of dynamic and evolving graphs.
- Understand the importance of graph learning for boosting enterprise-grade applications
- Navigate the challenges surrounding the development and deployment of enterprise-ready graph learning and inference pipelines
- Use traditional and advanced graph learning techniques to tackle graph use cases
- Use and contribute to PyGraf, an open source graph learning library, to help embed best practices while building graph applications
- Design and implement a graph learning algorithm using publicly available and syntactic data
- Apply privacy-preserved techniques to the graph learning process
While major retailers like Amazon may carry Scaling Graph Learning for the Enterprise (Production-Ready Graph Learning and Inference), we specialize in bulk book sales and offer personalized service from our friendly, book-smart team based in Portland, Oregon. We’re proud to offer a Price Match Guarantee and a streamlined ordering experience from people who truly care.
We’re trusted by over 75,000 customers, many of whom return time and again. Want proof? Just check out our 25,000+ customer reviews—real feedback from people who love how we do business.
Prefer to talk to a real person? Our Book Specialists are here Monday–Friday, 8 a.m. to 5 p.m. PST and ready to help with your bulk order of Scaling Graph Learning for the Enterprise (Production-Ready Graph Learning and Inference).