Graph Neural Networks in Action with Python by Aarav Joshi (.ePUB)

Posted on by

File Size: 12.4 MB

Graph Neural Networks in Action with Python: A Complete Practitioner’s Guide to Building, Scaling, and Deploying GNN Applications by Aarav Joshi
Requirements: .ePUB reader, 12.4 MB
Overview: Graph Neural Networks in Action with Python: A Complete Practitioner’s Guide to Building, Scaling, and Deploying GNN Applications is the definitive comprehensive resource for mastering graph neural networks from fundamentals to production deployment. This extensive guide expands far beyond traditional GNN introductions, offering 12 detailed chapters with 8 practical sections each, covering everything from basic graph theory to advanced industrial applications. Unlike existing books that focus primarily on theory, this practitioner-oriented guide emphasizes real-world implementation using the latest Python frameworks including PyTorch Geometric, DGL, and GraphScope. You’ll master core architectures like Graph Convolutional Networks, GraphSAGE, and Graph Attention Networks, then advance to cutting-edge topics including heterogeneous graphs, temporal networks, and large-scale distributed training.
Genre: Non-Fiction > Tech & Devices

Free Download links:

https://trbt.cc/80vj4lwai1ei.html

https://katfile.com/kbiw609x4iaw/Graph_Neural_Networks_in_Action_with_Python.epub.html