Verwandte Artikel zu Graph Neural Networks in Practice: Design, Train, and...

Graph Neural Networks in Practice: Design, Train, and Apply GNNs for Real-World AI Systems - Softcover

Max, Jude

 
9798291732144: Graph Neural Networks in Practice: Design, Train, and Apply GNNs for Real-World AI Systems
Softcover
ISBN 13: 9798291732144
Verlag: Independently published, 2025

Inhaltsangabe

Are you ready to solve problems that traditional AI can't? Discover the power of Graph Neural Networks.

This essential reading is for machine learning practitioners, data engineers, and students aiming to master Graph AI and its diverse applications. Equip yourself with the skills to build intelligent systems that understand relationships, predict complex behaviors, and generate novel insights from interconnected data.

Key features include:

  • End-to-End Project Workflow: From graph modeling to GNN deployment and monitoring.

  • Key Architectures Explained: Deep dive into GCN, GraphSAGE, GAT, and heterogeneous GNNs.

  • Scalability Solutions: Tackle massive graphs with practical sampling and distributed training techniques.

  • Real-World Impact: Explore mini case studies across cybersecurity, social network analysis, and smart cities.

  • Ethical Deployment: Best practices for fairness, robustness, and privacy in GNNs.

  • Hands-on with PyTorch Geometric and DGL.

"Graph Neural Networks in Practice" provides the practical knowledge to build impactful AI Systems on graph data.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Independently published
Erscheinungsdatum
2025
Sprache
Englisch
ISBN 13 
9798291732144
Einband
Taschenbuch
Anzahl der Seiten
309
Kontakt zum Hersteller
Printed by Amazon on behalf of the author
https://www.amazon.de/hz/contact-us

c/o Amazon Media EU S.à.r.l., 38 Avenue John F. Kennedy
Luxembourg
L-1855
Luxemburg