Doubly Nonnegative and Semidefinite Relaxations for the Densest <i>k</i>-Subgraph Problem
The densest <i>k</i>-subgraph (DkS) maximization problem is to find a set of <i>k</i> vertices with maximum total weight of edges in the subgraph induced by this set. This problem is in general NP-hard. In this paper, two relaxation methods for solving the DkS problem are pre...
Main Authors: | Chuan-Hao Guo, Yuan Guo, Bei-Bei Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-01-01
|
Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/21/2/108 |
Similar Items
-
Efficient Densest Subgraphs Discovery in Large Dynamic Graphs by Greedy Approximation
by: Tao Han
Published: (2023-01-01) -
Augmentation of Densest Subgraph Finding Unsupervised Feature Selection Using Shared Nearest Neighbor Clustering
by: Deepesh Chugh, et al.
Published: (2023-01-01) -
Inapproximability of Maximum Biclique Problems, Minimum k-Cut and Densest At-Least-k-Subgraph from the Small Set Expansion Hypothesis
by: Pasin Manurangsi
Published: (2018-01-01) -
Array pattern synthesis using semidefinite programming and a bisection method
by: Jong‐Ho Lee, et al.
Published: (2019-05-01) -
Robust Semidefinite Relaxation Method for Energy-Based Source Localization: Known and Unknown Decay Factor Cases
by: Jiong Shi, et al.
Published: (2019-01-01)