Space-Query Tradeoffs in Range Subgraph Counting and Listing
Abstract
This paper initializes the study of {\em range subgraph counting} and {\em range subgraph listing}, both of which are motivated by the significant demands in practice to perform graph analytics on subgraphs pertinent to only selected, as opposed to all, vertices. In the first problem, there is an undirected graph where each vertex carries a real-valued attribute. Given an interval and a pattern , a query counts the number of occurrences of in the subgraph of induced by the vertices whose attributes fall in . The second problem has the same setup except that a query needs to enumerate (rather than count) those occurrences with a small delay. In both problems, our goal is to understand the tradeoff between {\em space usage} and {\em query cost}, or more specifically: (i) given a target on query efficiency, how much pre-computed information about must we store? (ii) Or conversely, given a budget on space usage, what is the best query time we can hope for? We establish a suite of upper- and lower-bound results on such tradeoffs for various query patterns.
Cite
@article{arxiv.2301.03390,
title = {Space-Query Tradeoffs in Range Subgraph Counting and Listing},
author = {Shiyuan Deng and Shangqi Lu and Yufei Tao},
journal= {arXiv preprint arXiv:2301.03390},
year = {2023}
}