2021
Rethinking Graph Transformers with Spectral Attention
NeurIPS 2021poster
In recent years, the Transformer architecture has proven to be very successful in sequence processing, but its application to other data structures, such as graphs, has remained limited due to the difficulty of properly defining positions. Here, we present the \textit{Spectral Attention Network} (S…