Graph Neural Networks, Transformers, Machine Learning, Artificial Intelligence, Graph Processing.
expressive kernels on graph nodes that lead to efficient mappings, the researchers employ a novel Random Walks Graph-Nodes Kernels (RWGNKs) approach, where the value for two nodes is given as a dot-product of two frequency vectors that record visits of random walks in graph nodes. The full GKAT