SKU/Artículo: AMZ-B0FH3BL3KJ

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

Disponibilidad:
Fuera de stock
Peso con empaque:
0.36 kg
Devolución:
No
Condición
Nuevo
Producto de:
Amazon

Sobre este producto
  • 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.

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