{"product_id":"scaling-graph-learning-for-the-enterprise-production-ready-graph-learning-and-inference-paperback","title":"Scaling Graph Learning for the Enterprise: Production-Ready Graph Learning and Inference - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eAhmed Menshawy\u003c\/b\u003e (Author), \u003cb\u003eSameh Mohamed\u003c\/b\u003e (Author), \u003cb\u003eMaraim Rizk Masoud\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eTackle 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.\u003c\/p\u003e \u003cp\u003eDrawing 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.\u003c\/p\u003e \u003cul\u003e\n\u003cli\u003eUnderstand the importance of graph learning for boosting enterprise-grade applications\u003c\/li\u003e \u003cli\u003eNavigate the challenges surrounding the development and deployment of enterprise-ready graph learning and inference pipelines\u003c\/li\u003e \u003cli\u003eUse traditional and advanced graph learning techniques to tackle graph use cases\u003c\/li\u003e \u003cli\u003eUse and contribute to PyGraf, an open source graph learning library, to help embed best practices while building graph applications\u003c\/li\u003e \u003cli\u003eDesign and implement a graph learning algorithm using publicly available and syntactic data\u003c\/li\u003e \u003cli\u003eApply privacy-preserving techniques to the graph learning process\u003c\/li\u003e\n\u003c\/ul\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 366\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.76 x 9.19 x 7 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e September 16, 2025\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47214340407545,"sku":"9781098146061","price":86.38,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/kJUpwPxmzB9781098146061.webp?v=1768112636","url":"https:\/\/bookscloud.io\/products\/scaling-graph-learning-for-the-enterprise-production-ready-graph-learning-and-inference-paperback","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}