Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Graph Neural Networks with PyTorch For Beginners: A Practical Guide to Graph Learning, GNN Architectures, Training, and Real-World Applications

Graph Neural Networks with PyTorch For Beginners: A Practical Guide to Graph Learning, GNN Architectures, Training, and Real-World Applications

Paperback

General ComputersProgramming

Currently unavailable to order

ISBN13: 9798171189686
Publisher: Independently Published
Pages: 198
Weight: 0.78
Height: 0.42 Width: 7.00 Depth: 10.00
Language: English
Graph Neural Networks with PyTorch For Beginners introduces the concepts and practical techniques needed to understand and build Graph Neural Networks using PyTorch-based tools and workflows.
Traditional neural networks work naturally with images, sequences, and other structured data, but many real-world problems involve relationships between entities. Social networks, recommendation systems, knowledge graphs, molecular structures, fraud networks, and transportation systems can all be represented as graphs. Graph Neural Networks provide a powerful approach for learning from both the features of individual entities and the relationships connecting them.

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