A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".
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Updated
Mar 18, 2023 - Python
A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".
This repository contains a collection of Digital Geometry Processing libraries to be used in achieving multiple shape correspondence.
Heat-kernel based local clustering
B.Sc. thesis on the HKS descriptor behaviors.
Mirror for RFPKOG
First explicit curvature correction formula for fractional Laplacians on curved manifolds. Complete proof via heat kernel expansion, validated computationally on S². Applications in anomalous diffusion, thermal field theory, and curved spacetime physics.
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