Behavior of GraSSRep across different steps. (A) Progression of the method's performance throughout the different steps, highlighting the effectiveness of each step in improving repeat detection. We also test the impact of excluding the GNN embeddings and RF step applied to the augmented feature vectors. (B) High importance of GNN-generated embeddings in RF classification.