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A Continuous Framework for Structural Graph Refinement
DRESS is a deterministic, parameter-free framework that iteratively refines the structural similarity of edges in a graph to produce a canonical fingerprint: a real-valued edge vector, obtained by converging a non-linear dynamical system to its unique fixed point. The fingerprint is isomorphism-invariant by construction, guaranteed bitwise-equal across any vertex labeling, numerically stable (no overflow, no error amplification, no undefined behavior), fast and embarrassingly parallel to compute: DRESS total runtime is O(I * m * d_max) for I iterations to convergence, and convergence is guaranteed by Birkhoff contraction.
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")library(dress.graph)
result <- dress_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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