Graph-based manifold learning and diffusion processes provide a powerful framework for extracting intrinsic geometric features from high-dimensional data. By constructing a graph where nodes represent ...

First passage time (FPT) problems lie at the heart of understanding stochastic processes, where the primary interest is in quantifying the time required for a diffusing particle to reach a target or ...