The proposed structure-aware optimization approach in SAGS can be extended to other point-based scene representation methods by incorporating similar graph neural network (GNN) architectures to encode the scene's geometry. For instance, methods like PointNet++ for hierarchical feature learning on point sets or Instant Neural Graphics Primitives with multiresolution hash encoding could benefit from a structure-aware approach. By creating a local-global graph representation and leveraging the inter-connectivity between points, these methods can learn complex scene structures and enforce meaningful point displacements that preserve the scene's geometry. This extension would enable more accurate and efficient scene representation and rendering in various applications.