A Maximum Edge-Weight Clique Extraction Algorithm Based on Branch-and-Bound

10/24/2018
by   Satoshi Shimizu, et al.
0

The maximum edge-weight clique problem is to find a clique whose sum of edge-weight is the maximum for a given edge-weighted undirected graph. The problem is NP-hard and some branch-and-bound algorithms have been proposed. In this paper, we propose a new exact algorithm based on branch-and-bound. It assigns edge-weights to vertices and calculates upper bounds using vertex coloring. By some computational experiments, we confirmed our algorithm is faster than previous algorithms.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
10/11/2021

Subnetwork Constraints for Tighter Upper Bounds and Exact Solution of the Clique Partitioning Problem

We consider a variant of the clustering problem for a complete weighted ...
research
08/14/2023

KD-Club: An Efficient Exact Algorithm with New Coloring-based Upper Bound for the Maximum k-Defective Clique Problem

The Maximum k-Defective Clique Problem (MDCP) aims to find a maximum k-d...
research
01/18/2023

Relaxed Graph Color Bound for the Maximum k-plex Problem

As a relaxation of the clique, a k-plex of a graph is a vertex set that ...
research
07/06/2021

On the Hardness of Compressing Weights

We investigate computational problems involving large weights through th...
research
11/05/2018

An improved exact algorithm and an NP-completeness proof for sparse matrix bipartitioning

We formulate the sparse matrix bipartitioning problem of minimizing the ...
research
07/18/2018

Approximation algorithms on k- cycle covering and k- clique covering

Given a weighted graph G(V,E) with weight w: E→ Z^|E|_+. A k-cycle cove...
research
01/14/2018

Brain EEG Time Series Selection: A Novel Graph-Based Approach for Classification

Brain Electroencephalography (EEG) classification is widely applied to a...

Please sign up or login with your details

Forgot password? Click here to reset