Gaussian Relational Graph Transformer
GelGT is a relational graph transformer that models relational databases as graphs to improve predictive performance. It combines structural sampling with semantic refinement and a Gaussian temporal bias mechanism to simultaneously handle structural fragmentation, semantic noise, and temporal dependencies. This approach achieved up to a 13.8% improvement in predictive accuracy.