Reconstructing Graphs from Subgraph Compositions




Dailly, Antoine; Lehtilä, Tuomo

N/A

IEEE International Symposium on Information Theory

2025

IEEE International Symposium on Information Theory

2025 IEEE International Symposium on Information Theory (ISIT)

979-8-3315-4400-3

979-8-3315-4399-0

2157-8095

2157-8117

DOIhttps://doi.org/10.1109/ISIT63088.2025.11195664

https://ieeexplore.ieee.org/document/11195664



We study a generalization of the problem of reconstructing strings from their substring compositions first proposed by Acharya et al. in 2015. This problem is linked to information retrieval from polymer-based data storage systems where the information is read from polymers with tandem mass (MS/MS) spectrometers. Previously the problem has been studied when the polymers are strings/paths. However, polymers allow different structures, which motivates the more general problem of reconstructing graphs from their connected subgraphs compositions. We present some graph classes for which graphs are reconstructable. In particular, we present an infinite subclass of subdivided stars which are reconstructable, allow storing more information than strings, have a simple reconstruction algorithm and structure. Besides positive results, we also give some graph classes where a large number of non-isomorphic labelings yield the same composition multisets.



The research of the second author was partially funded by the Academy of Finland grants 338797 and 358718.


Last updated on 2025-22-10 at 09:27