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dress.graph (R)

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.

Install

CRAN hosts a stable release. For the latest version, install from GitHub.

# From CRAN (stable)
install.packages("dress.graph")

# From GitHub (latest)
# install.packages("remotes")
remotes::install_github("velicast/dress-graph", subdir="r")

Quick start

library(dress.graph)

result <- fit(
  n_vertices = 4L,
  sources    = c(0L, 1L, 2L, 0L),
  targets    = c(1L, 2L, 3L, 3L)
)
print(result$edge_dress)

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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