Hands-On Graph Neural Networks Using Python

Maxime Labonne

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.

جهت استعلام قيمت و سفارش چاپ اين محصول لطفا با انتشارات گنج حضور تماس حاصل فرماييد.