Complexity Results in Graph Reconstruction
Edith Hemaspaandra, Lane A. Hemaspaandra, Stanislaw P. Radziszowski,, Rahul Tripathi

TL;DR
This paper explores the complexity of graph reconstruction problems and their relation to graph isomorphism, introducing new parameters and demonstrating their computational equivalences and differences.
Contribution
It establishes new complexity equivalences for graph reconstruction problems and introduces novel graph parameters with illustrative examples.
Findings
Graph isomorphism is equivalent to various graph reconstruction problems.
New graph parameters $vrn_{\forall}$ and $ern_{\forall}$ are introduced and analyzed.
Existence of graph families with exponentially many preimages is demonstrated.
Abstract
We investigate the relative complexity of the graph isomorphism problem (GI) and problems related to the reconstruction of a graph from its vertex-deleted or edge-deleted subgraphs (in particular, deck checking (DC) and legitimate deck (LD) problems). We show that these problems are closely related for all amounts of deletion: 1) , , , and . 2) For all , and . 3) For all , . 4). 5) For all , . For many of these results, even the case was not previously known. Similar to the definition of reconstruction numbers [HP85] and (see page 120 of…
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