Computer Science

Yiping Liu, Mengxiao Zhang, Jiamou Liu, Yi Zhou

2026.2.20JOURNAL OF HEURISTICS

DOI: 10.1007/s10732-026-09585-6

tlooto Summary

This paper introduces the size constraint and forms an efficient heuristic, called inundation downsizing algorithm, to find highly vertex-connected subgraphs of different sizes and uses a nesting tree structure to represent relations between maximal cohesive subgraphs in G.

Abstract

The vertex connectivity of a graph is the minimum number of vertices whose removal disconnects the graph, and it is a fundamental notion that measures the level of interconnectedness of vertices. Mining subgraphs with high vertex connectivity has wide applications in robust and efficient communication networks and the organization of task groups. However, existing approaches often neglect size constraints, leading to subgraphs that are either too large or too small for practical use. Therefore, in this paper, we introduce the size constraint and formulate the graph downsizing problem: Given a graph G with n vertices and a positive integer $$\tau

Citation format

LIU, Yiping, et al. Graph downsizing: A fast heuristic for querying closely connected subgraphs. JOURNAL OF HEURISTICS, 2026, 32.