Key Features
- Master new graph ML techniques through updated examples using PyTorch Geometric and Deep Graph Library (DGL)
- Explore GML frameworks and their main characteristics
- Leverage LLMs for machine learning on graphs and learn about temporal learning
- Purchase of the print or Kindle book includes a free PDF eBook
Who this book is for
This book is for data scientists, ML professionals, and graph specialists looking to deepen their knowledge of graph data analysis or expand their machine learning toolkit. Prior knowledge of Python and basic machine learning principles is recommended.