Exact Learning of Weighted Graphs Using Composite Queries
November 18, 2025 Β· Declared Dead Β· π International Workshop on Combinatorial Algorithms
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Authors
Michael T. Goodrich, Songyu Liu, Ioannis Panageas
arXiv ID
2511.14882
Category
cs.DS: Data Structures & Algorithms
Cross-listed
cs.LG
Citations
0
Venue
International Workshop on Combinatorial Algorithms
Last Checked
4 months ago
Abstract
In this paper, we study the exact learning problem for weighted graphs, where we are given the vertex set, $V$, of a weighted graph, $G=(V,E,w)$, but we are not given $E$. The problem, which is also known as graph reconstruction, is to determine all the edges of $E$, including their weights, by asking queries about $G$ from an oracle. As we observe, using simple shortest-path length queries is not sufficient, in general, to learn a weighted graph. So we study a number of scenarios where it is possible to learn $G$ using a subquadratic number of composite queries, which combine two or three simple queries.
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