paper

Fixed-Threshold Peeling in Sublinear MPC: Round-Approximation Tradeoffs and Applications

arXiv:2608.10135

Abstract

A number of fundamental graph problems admit simple algorithms based on iterative peeling: repeatedly remove all vertices whose current degree is below a fixed threshold. This paradigm underlies algorithms for density-dependent edge orientation, density-dependent coloring, densest subgraph, and -core decomposition. In this paper, we study these problems in the sub-linear MPC model and achieve the following round-approximation tradeoffs. For density-dependent edge orientation, given any integer , we compute an orientation with maximum out-degree at most in rounds, where denotes the minimum possible maximum out-degree of an orientation of . In the -round regime, this gives an -approximation, improving the approximation factor of the recent work by Ghaffari and Grunau [PODC 2025]. We obtain a similar improvement for density-dependent coloring. For densest subgraph, we obtain a -approximation in MPC rounds and a -approximation in MPC rounds. This improves the round complexity of Ghaffari, Lattanzi, and Mitrović [ICML 2019] with a slightly larger approximation factor. This is the first -approximate algorithm for densest subgraph to break the round-complexity barrier in the sub-linear MPC model. For -core decomposition, given any integer , we compute approximate coreness values within a factor of in MPC rounds for any integer . This improves the round complexity of Ghaffari, Lattanzi, and Mitrović [ICML 2019], again giving a round-approximation tradeoff.

Fixed-Threshold Peeling in Sublinear MPC: Round-Approximation Tradeoffs and Applications · wovepaper