How do social networking platforms like Facebook and Instagram generate friend or follower suggestions? What’s more, we tend to know many of these suggestions. A common technology used for this is network analysis.
Geometric deep learning techniques can be used to analyze various aspects of social networks, such as community structure, centrality measures, and the spread of information or influence. These techniques can provide valuable insights into the structure and dynamics of social networks and can help to identify patterns and trends that may not be apparent using traditional techniques.
Geometric deep learning is still a relatively new and rapidly evolving field, and there is ongoing research and development in this area. As such, it can be considered an emerging research area within the broader field of machine learning and social network analysis.