Graph Neural Networks in Action, Hardback/Namid Stillman

Graph Neural Networks in Action is a great guide about how to build cutting-edge graph neural networks and powerful deep learning models for recommendation engines, molecular modeling, and more. Ideal for Python programmers, you will dive into graph neural networks perfect for node prediction, link prediction, and graph classification. Publisher: Manning Publications Author(s): Namid Stillman Number of pages: 350 Publication date: 2025 Dimensions: 234 x 188 x 27 Cover type: Hardback