Higher-Order Cheeger Inequality for Partitioning with Buffers
Konstantin Makarychev, Yury Makarychev, Liren Shan, Aravindan, Vijayaraghavan

TL;DR
This paper introduces a new higher-order Cheeger inequality for graph partitioning with buffers, providing a constructive bound that improves upon previous inequalities and extends to weighted graphs.
Contribution
It generalizes the higher-order Cheeger inequality to buffered partitions, avoiding square-root loss and including weighted graphs and edge costs.
Findings
Provides a constructive inequality relating buffered expansion to eigenvalues.
Includes a lower bound and generalizes to weighted graphs.
Improves upon standard Cheeger inequalities for partitioning with buffers.
Abstract
We prove a new generalization of the higher-order Cheeger inequality for partitioning with buffers. Consider a graph . The buffered expansion of a set with a buffer is the edge expansion of after removing all the edges from set to its buffer . An -buffered -partitioning is a partitioning of a graph into disjoint components and buffers , in which the size of buffer for is small relative to the size of : . The buffered expansion of a buffered partition is the maximum of buffered expansions of the sets with buffers . Let be the buffered expansion of the optimal -buffered -partitioning, then for every , $$h_G^{k,\varepsilon} \le O_\delta(1) \cdot \Big( \frac{\log k}{ \varepsilon}\Big) \cdot…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGraph theory and applications · VLSI and FPGA Design Techniques
