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# Graph Partitioning with a Move Budget

*Proceedings of The 27th International Conference on Artificial Intelligence and Statistics*, PMLR 238:568-576, 2024.

#### Abstract

In many real world networks, there already exists a (not necessarily optimal) $k$-partitioning of the network. Oftentimes, for such networks, one aims to find a $k$-partitioning with a smaller cut value by moving only a few nodes across partitions. The number of nodes that can be moved across partitions is often a constraint forced by budgetary limitations. Motivated by such real-world applications, we introduce and study the $r$-move $k$-partitioning problem, a natural variant of the Multiway cut problem. Given a graph, a set of $k$ terminals and an initial partitioning of the graph, the $r$-move $k$-partitioning problem aims to find a $k$-partitioning with the minimum-weighted cut among all the $k$-partitionings that can be obtained by moving at most $r$ non-terminal nodes to partitions different from their initial ones. Our main result is a polynomial time $3(r+1)$ approximation algorithm for this problem. We further show that this problem is $W[1]$-hard, and give an FPTAS for when $r$ is a small constant.