Graph Neural Networks, Transformers, Machine Learning, Artificial Intelligence, Graph Processing.
shallow architectures and at the same time scale up to larger (not necessarily sparse) graphs?” The researchers then summarize their GKAT approach’s advantages over previous methods: GKATs are capable of modelling dependencies between distant nodes within a single attention layer. GKATs attention