Graph Neural Networks, Transformers, Machine Learning, Artificial Intelligence, Graph Processing.
its GCN, GAT and SGC counterparts. Overall, the proposed GKATs demonstrate superior performance across a wide range of tasks, from purely combinatorial problems through social network data to bioinformatics challenges, indicating their ability to boost expressive power while reducing computational