Convergence of the Cotangent Formula: An Overview

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Geometric Deep Learning: Going beyond Euclidean data (2016, background): “When the mesh is infinitely refined under some technical conditions, such a construction can be shown to converge to the continuous Laplacian of the underlying manifold [69].”
Surface Networks (2017, background): “1which controls how the normals of the mesh align with the surface normals; see [39].”
Multimodal Manifold Analysis by Simultaneous Diagonalization of Laplacians (2015, unknown): “The eigenvectors ui of the matrix L can be considered as a discretization of eigenfunctions ui of the continuous operator D; it can be shown that under certain conditions on the discretization of the Laplacian, they converge to the continuous counterparts [33].”