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)".
Spectral Causal Theory: derivations, verification, analysis, and publications.
This repository contains a collection of Digital Geometry Processing libraries to be used in achieving multiple shape correspondence.
Heat-kernel based local clustering
Unusually powerful linear-time MaxSAT approximator that consistently hits 99.5%+ satisfaction across diverse categories including Graph Coloring, Clique, and Ramsey instances.
B.Sc. thesis on the HKS descriptor behaviors.
Exact RG flow of the spectral dimension: bond percolation on the diamond hierarchical lattice, closed-form mass dimension, resistance exponent, d_s ~ 1.40, rewiring and transport universality (Paper 7)
Thermodynamics of scale: entropic c-functions, data processing H-theorem, spectral heat capacity = spectral dimension, Jarzynski/Crooks for scale protocols, and the RG arrow of time (Paper 5)
Local Spectral Thermodynamics and the Einstein Equation as a Spectral Equilibrium Condition
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.
Code, data, figures and manuscript for "Crossover from Discrete to Continuous Quantum Geometry: Running Spectral Dimensions, Noncommutative Spectral Triples, and Critical Phase Transitions" (R. Chen, 2026).
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