Local reconstructors and tolerant testers for connectivity and diameter
Andrea Campagna, Alan Guo, Ronitt Rubinfeld

TL;DR
This paper develops local reconstructors and tolerant testers for graph properties like connectivity and diameter, enabling correction and testing of graphs close to having these properties with new algorithms and transformations.
Contribution
It introduces new local reconstructors for connectivity, $k$-connectivity, and diameter, along with a method to convert adjacency matrix oracles into adjacency list oracles, enhancing recursive property reconstruction.
Findings
Reconstructed graphs are close to the original with the property.
Developed tolerant property testers for connectivity, $k$-connectivity, and diameter.
Extended local reconstruction to parametrized properties like diameter.
Abstract
A local property reconstructor for a graph property is an algorithm which, given oracle access to the adjacency list of a graph that is "close" to having the property, provides oracle access to the adjacency matrix of a "correction" of the graph, i.e. a graph which has the property and is close to the given graph. For this model, we achieve local property reconstructors for the properties of connectivity and -connectivity in undirected graphs, and the property of strong connectivity in directed graphs. Along the way, we present a method of transforming a local reconstructor (which acts as a "adjacency matrix oracle" for the corrected graph) into an "adjacency list oracle". This allows us to recursively use our local reconstructor for -connectivity to obtain a local reconstructor for -connectivity. We also extend this notion of local property reconstruction to parametrized…
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Taxonomy
TopicsComplexity and Algorithms in Graphs · Optimization and Search Problems · Stochastic Gradient Optimization Techniques
