Graph Neural Networks Demystified
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Home > Computing and Information Technology > Computer science > Mathematical theory of computation > Graph Neural Networks Demystified: Modeling Relationships in Structured Data
Graph Neural Networks Demystified: Modeling Relationships in Structured Data

Graph Neural Networks Demystified: Modeling Relationships in Structured Data


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About the Book

Unlock the power of Graph Neural Networks (GNNs) and transform how you work with complex, structured data. Whether you're new to GNNs or have experience with machine learning, Graph Neural Networks Demystified: Modeling Relationships in Structured Data is your go-to guide for mastering this groundbreaking technology. Graph Neural Networks have become the go-to solution for problems involving relational data-from social networks and recommendation systems to molecular modeling and natural language processing. In this book, you will dive deep into GNNs and understand how they can model relationships between entities to reveal powerful insights. Inside, you will learn: The fundamentals of graph theory and how GNNs use graph data structures to solve real-world problems How message-passing in GNNs helps propagate information across nodes and edges State-of-the-art techniques and architectures like Graph Convolutional Networks (GCNs) and Graph Attention Networks (GATs) Hands-on Python examples using popular libraries like PyTorch Geometric and DGL How to apply GNNs to a variety of tasks, from node classification and link prediction to graph classification Real-world case studies in social networks, recommendation systems, and drug discovery By the end of this book, you'll be equipped to solve complex problems involving relationships in data and apply GNNs to your own machine learning projects. If you're ready to take your data science skills to the next level and harness the full potential of structured data, buy this book now and start your journey into the world of Graph Neural Networks.


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Product Details
  • ISBN-13: 9798297859630
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 229 mm
  • No of Pages: 200
  • Returnable: N
  • Sub Title: Modeling Relationships in Structured Data
  • Width: 152 mm
  • ISBN-10: 8297859630
  • Publisher Date: 13 Aug 2025
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 11 mm
  • Weight: 272 gr


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