TopoSRL: Topology Preserving Self-Supervised Simplicial Representation Learning

This paper proposes an SSL method for simplicial complex data that preserves topological and geometric information while learning representations. Although no existing studies focus on SSL for simplicial complex data, a closely related field of SSL for graph data has been extensively studied.