Graph Neural Networks, Transformers, Machine Learning, Artificial Intelligence, Graph Processing.
architecture consists of several blocks, with each block built from the attention layer and a standard MLP layer. The attention layers scale linearly rather than quadratically with the number of nodes of the input graphs, thus reducing computational complexity compared to their regular graph