Scaling Graph Learning for the Enterprise Production-Ready Graph Learning and Inference (Ahmed Menshawy, Sameh Mohamed etc.) (z-library.sk, 1lib.sk, z-lib.sk) (1)

Author： Ahmed Menshawy, Sameh Mohamed, Maraim Rizk Masoud

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 robust graph learning systems 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

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