Graph Neural Networks: Comprehensive Review of Methods and Applications
Analysis
This article likely provides a deep dive into Graph Neural Networks (GNNs), covering various methodologies and practical applications. The context suggests a comprehensive exploration suitable for researchers and practitioners interested in understanding the current state of GNN technology.
Key Takeaways
- •Explores GNN methodologies.
- •Highlights practical applications of GNNs.
- •Serves as a resource for researchers and practitioners.
Reference
“A review of methods and applications.”