๐ฎ
๐ฎ
The Ethereal
Reconstructing graphs and their connectivity using graphlets
August 26, 2025 ยท The Ethereal ยท ๐ arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
David Hartman, Aneta Pokornรก, Daniel Trlifaj, Lluรญs Vena
arXiv ID
2508.19189
Category
math.CO: Combinatorics
Cross-listed
cs.DM,
cs.SI
Citations
0
Venue
arXiv.org
Last Checked
3 months ago
Abstract
Graphlets are subgraphs rooted at a fixed vertex. The number of occurrences of graphlets aligned to a particular vertex, called graphlet degree sequence (gds), gives a topological description of the surrounding of the analyzed vertex. Graphlet degree distribution (gdd) of a graph is a matrix containing graphlet degree sequence for all vertices in the given graph. A long standing open problem called reconstruction conjecture (RC) asks whether the structure of a graph is uniquely determined by the multiset of its vertex-deleted subgraphs. Graphlet degree distribution up to size (n - 1), (<= n - 1)-gdd, gives more information to reconstruct the graph and we use it to reconstruct any graph having a unique almost-asymmetric vertex-deleted subgraph, where almost-asymmetric means that at most one automorphism orbit has size larger than one. Moreover, we prove that any graph containing a vertex-cut of size 1 or any graph of order n having a vertex with degree at most 2 or at least n-2 is reconstructible from its (<= n - 1)-gdd, which expands results shown in the standard RC. We also discuss the relation between gdd and graph connectivity and the conditions on (<= 3)-gdd, whose breaking means that no graph with such gdd exists.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
๐ Similar Papers
In the same crypt โ Combinatorics
๐ฎ
๐ฎ
The Ethereal
On cap sets and the group-theoretic approach to matrix multiplication
๐ฎ
๐ฎ
The Ethereal
Generalized Twisted Gabidulin Codes
๐ฎ
๐ฎ
The Ethereal
Tables of subspace codes
๐ฎ
๐ฎ
The Ethereal
Classification of weighted networks through mesoscale homological features
๐ฎ
๐ฎ
The Ethereal