LightTopoGAT: Enhancing Graph Attention Networks with Topological Features for Efficient Graph Classification

The article introduces LightTopoGAT, a method that improves graph classification by incorporating topological features into Graph Attention Networks (GATs). The focus is on efficiency, suggesting the method aims to be computationally less expensive than existing approaches. The source is ArXiv, indicating a pre-print or research paper.