Abstract: We view graph centrality algorithms as differentiable processes and explore the implications of this lens.First, we revisit PageRank, an ubiquitous graph centrality algorithm, and consider ...

Modern spatial intelligence systems—SLAM pipelines, neural rendering models, and 3D scene graph frameworks—remain fragmented. Each solves part of the perception problem, but none unify: Metric ...

SmoothE is a novel approach for e-graph extraction that handles complex cost models through a probabilistic perspective. By relaxing the original discrete optimization problem into a continuous ...