Name: Unlimited
Brand: Storytel
SKU: 7777
Price: 199 THB
Availability: InStock

Maxime Labonne

Graph neural networks are a highly effective tool for analyzing data that can be represented as a graph, such as networks, chemical compounds, or transportation networks. The past few years have seen an explosion in the use of graph neural networks, with their application ranging from natural language processing and computer vision to recommendation systems and drug discovery.

Hands-On Graph Neural Networks Using Python begins with the fundamentals of graph theory and shows you how to create graph datasets from tabular data. As you advance, you’ll explore major graph neural network architectures and learn essential concepts such as graph convolution, self-attention, link prediction, and heterogeneous graphs. Finally, the book proposes applications to solve real-life problems, enabling you to build a professional portfolio. The code is readily available online and can be easily adapted to other datasets and apps.

By the end of this book, you’ll have learned to create graph datasets, implement graph neural networks using Python and PyTorch Geometric, and apply them to solve real-world problems, along with building and training graph neural network models for node and graph classification, link prediction, and much more.

Packt Publishing

Hands-On Graph Neural Networks Using Python: Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch

ยังใหม่กับ Storytel ใช่ไหม?

เข้าสู่ระบบด้วย...

เข้าสู่ระบบ

มีบัญชีผู้ใช้อยู่แล้วใช่หรือไม่

สร้างบัญชีกับ...

สร้างบัญชี

Enter a Code

Storytel

ด้วย Storytel Unlimited คุณจะได้รับการฟังและการอ่านแบบไม่จำกัดทุกเดือน พร้อมเข้าถึงคลังหนังสือเสียงและอีบุ๊กที่มีมากมาย