Benchmarking Feature-Enhanced GNNs for Synthetic Graph Generative Model Classification
Published:Dec 20, 2025 22:44
•1 min read
•ArXiv
Analysis
This research focuses on evaluating Graph Neural Networks (GNNs) enhanced with feature engineering for classifying synthetic graphs. The study provides valuable insights into the performance of different GNN architectures in this specific domain and offers a benchmark for future research.
Key Takeaways
Reference
“The research focuses on the classification of synthetic graph generative models.”