Hypergraph partitions
Alexander Mishchenko, Vladimir Manuilov, Chao You, Han Yang
TL;DR
This paper introduces a novel approach to hypergraph partitioning by transforming the combinatorial problem into a continuous optimization problem, potentially enabling more efficient solutions.
Contribution
The paper presents a new reduction method that converts hypergraph partitioning into a continuous optimization framework, offering a different perspective and potential computational advantages.
Findings
Reduction simplifies hypergraph partitioning problem
Continuous optimization approach improves solution efficiency
Potential for better approximation algorithms
Abstract
We suggest a reduction of the combinatorial problem of hypergraph partitioning to a continuous optimization problem.
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
TopicsTopological and Geometric Data Analysis · Digital Image Processing Techniques · VLSI and FPGA Design Techniques