Inapproximability of Maximum Biclique Problems, Minimum k-Cut and Densest At-Least-k-Subgraph from the Small Set Expansion Hypothesis
The Small Set Expansion Hypothesis is a conjecture which roughly states that it is NP-hard to distinguish between a graph with a small subset of vertices whose (edge) expansion is almost zero and one in which all small subsets of vertices have expansion almost one. In this work, we prove conditional...
Main Author: | Pasin Manurangsi |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-01-01
|
Series: | Algorithms |
Subjects: | |
Online Access: | http://www.mdpi.com/1999-4893/11/1/10 |
Similar Items
-
Scale Reduction Techniques for Computing Maximum Induced Bicliques
by: Shahram Shahinpour, et al.
Published: (2017-10-01) -
Efficient Densest Subgraphs Discovery in Large Dynamic Graphs by Greedy Approximation
by: Tao Han
Published: (2023-01-01) -
Unbalanced Biclique Cryptanalysis of Full-Round GIFT
by: Guoyong Han, et al.
Published: (2019-01-01) -
Doubly Nonnegative and Semidefinite Relaxations for the Densest <i>k</i>-Subgraph Problem
by: Chuan-Hao Guo, et al.
Published: (2019-01-01) -
Augmentation of Densest Subgraph Finding Unsupervised Feature Selection Using Shared Nearest Neighbor Clustering
by: Deepesh Chugh, et al.
Published: (2023-01-01)