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dress-graph

v0.8.3

Published

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 reac

Readme

dress-graph (WASM / JavaScript)

A Continuous Framework for Structural Graph Refinement

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. The resulting fingerprint is self-contained, isomorphism-invariant by construction, reproducible across vertex labelings under the reference implementation, numerically robust in practice, and efficient to compute with straightforward parallelization and distribution.

Quick start

import { fit } from 'dress-graph';

const result = await fit({
  numVertices: 4,
  sources:     [0, 1, 2, 0],
  targets:     [1, 2, 3, 3],
});
console.log(result.edgeDress);

For the full API and documentation, see the main repository.