Discover the capabilities of PyTorch Geometric, a library built on top of PyTorch, for creating and training Graph Neural Networks (GNNs). Gain insights into the unique characteristics of GNNs and their applications in tasks such as 3D mesh processing, molecular analysis, and social graphs data mining. Learn how PyTorch Geometric provides a comprehensive set of tools and utilities for effectively implementing GNNs, enhancing your deep learning capabilities on graph-based data.

• Presentation Slides: https://pydatayerevan.aua.am/files/2022/09/Dmitry-Korobchenko.pptx 
• Github: https://github.com/numfocus/YouTubeVideoTimestamps 

#graph  #neural   #pytorch