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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
pip install dress-graph
PyPI declares 4 unique dependency rules for this release. Environment markers are shown when supplied by the project.
This release declares no required runtime dependencies in its PyPI metadata.
dress-graph publishes 15 wheels and 1 source archive for version 0.8.3. Wheel platform tags: macosx_11_0_arm64, manylinux_2_17_x86_64.manylinux2014_x86_64, win_amd64.
No version-specific Python classifiers are declared.
PyPI lists 20 releases with files. The first dated release is ; 20 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .