What are some popular applications of graph neural networks?

Graph neural networks (GNNs) have gained significant attention and popularity in recent years due to their effectiveness in various domains. One popular application of GNNs is social network analysis, where they can uncover hidden patterns and dependencies between users, aiding in tasks like recommendation systems, community detection, and influence prediction. GNNs also find uses in molecular chemistry, enabling the discovery of new drugs by predicting molecular properties and interactions. Additionally, they have shown promise in recommendation systems for movie or music recommendations by capturing the complex relationships between items and users. GNNs are even utilized in cybersecurity for anomaly detection and identifying malicious network activities. These applications highlight the wide range of domains where GNNs have been successfully employed, making them an increasingly popular and impactful tool in the field of machine learning.

This mind map was published on 20 August 2023 and has been viewed 60 times.