TopoSRL: Topology preserving self-supervised Simplicial Representation Learning

Neural Information Processing Systems 

In this paper, we introduce $\texttt{TopoSRL}$, a novel self-supervised learning (SSL) method for simplicial complexes to effectively capture higher-order interactions and preserve topology in the learned representations.