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Author:
Eduar Castrillo Velilla
Summary:
DRESS is a deterministic, parameter-free framework for continuous structural graph refinement. It iterates a nonlinear dynamical system on real-valued edge similarities and produces a graph fingerprint as a sorted edge-value vector once the iteration reaches a prescribed stopping criterion.
Latest version:
0.8.3
Optional dependencies:
networkx
|
numpy
|
nvidia-cuda-runtime-cu12
|
pybind11
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