Simplicial Attention Networks

1 code implementation • 20 Apr 2022 • Christopher Wei Jin Goh, Cristian Bodnar, Pietro Liò

Leveraging the success of attention mechanisms in structured domains, we propose Simplicial Attention Networks (SAT), a new type of simplicial network that dynamically weighs the interactions between neighbouring simplicies and can readily adapt to novel structures.

Graph Representation Learning