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
Maintainers
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.
