Supra-Laplacian Encoding for Transformer on Dynamic Graphs

Neural Information Processing Systems 

Fully connected Graph Transformers (GT) have rapidly become prominent in the static graph community as an alternative to Message-Passing models, which suffer from a lack of expressivity, oversquashing, and under-reaching.