A fast approximate method for k|edge connected component ...

A fast approximate method for k-edge connected component ...

In this paper, we propose a decomposition framework that utilizes a local edge connectivity check method to obtain high-quality results in a shorter period.

A fast approximate method for k-edge connected component ...

The proposed method utilizes an improved maximum flow algorithm to detect k-ECCs from local k-cores by merging more vertices in each iteration ...

A Fast Approximate Method for k-Edge Connected Component ...

The idea lies on the trivial fact that the more accessible a node is, the more resources per time unit it loses. Experiments on random, scale-free and small- ...

A Fast Approximate Method for K-Edge Connected Component ...

Finding k-edge connected components (k-ECCs) is widely used to investigate the major cohesive structures within a graph. Traditional methods utilizing ...

A fast approximate method for k-edge connected component ... - OUCI

List of references · Su, A comprehensive survey on community detection with deep learning, IEEE Trans. · Liang, Fast graph clustering with a new description ...

A fast approximate method for k-edge connected component ...

Finding k-edge connected components (k-ECCs) is widely used to investigate the major cohesive structures within a graph. Traditional methods utilizing global ...

A Simple Algorithm for Finding All k-Edge-Connected Components

A fast approximate method for k-edge connected component detection in graphs with high accuracy · Computer Science, Mathematics. Information Sciences · 2023.

Efficient k-edge Connected Component Detection through an Early ...

It computes the k-edge connected components of a graph with an order list of vertices which is decided according to the connectivity of vertices in the graph.

Approximating k-Edge-Connected Spanning Subgraphs via a Near ...

Optimization and Algorithm Design In the k-edge-connected ... The fastest 2-approximation algorithm is however rather slow, taking ...

Approximating k-Edge-Connected Spanning Subgraphs via a Near ...

For any ε > 0, there is a randomized eO(m/ε2)-time algorithm that outputs a. (1 + ε)-approximate fractional solution for kECSS. Following, in ...

Fast and Deterministic Approximations for $k$-Cut

We give a deterministic approximation algorithm that computes (2+ϵ)-approximate minimum k-cut in O(mlog3n/ϵ2) time, via a (1+ϵ)-approximation for an LP ...

Efficient k-edge connected component detection through an early ...

A fast approximate method for k-edge connected component detection in graphs with high accuracy · Computer Science, Mathematics. Information Sciences · 2023.

k_components — NetworkX 3.4.2 documentation

This implementation is based on the fast heuristics to approximate the k -component structure of a graph [1]. Which, in turn, it is based on a fast ...

Efficient Computation of k-Edge Connected Components

On the other hand, cut-based algorithms iteratively cut a graph with connectivity less than k into two parts, continuing this process until the ...

Faster Algorithms for Edge Connectivity via Random 2-Out ... - People

k steps of both algorithms, the set of connected components in Kruskal's algorithm corresponds to the set of (super)vertices of the contraction process. To ...

Ghost Value Augmentation for k-Edge-Connectivity - arXiv

Our approach to showing Theorem 1.1 is to apply iterative LP relaxation methods to the k-ECSS LP and obtain a (k − 10)-edge-connected graph.

A Faster Approximation Algorithm for 2-Edge-Connectivity ...

Given a weighted graph G with n vertices and m edges, the 2-edge-connectivity augmentation problem is that of finding a minimum weight set of edges of G to ...

Visualization of k-connected Components and Minimum Separating ...

The peeling process and an algorithm to perform a decomposition of a graph into Fixed Points of Degree Peeling is described in detail in [1]. In this paper we ...

Finding maximal k-edge-connected subgraphs from a large graph

To find maximal k-edge-connected subgraphs from a graph, a basic approach is to repeatedly apply minimum cut algorithm to the connected components of the input ...

A connected component-based method for efficiently integrating ...

In numerical tests on astrophysically relevant setups, the method compares favourably to both alternative Hamiltonian-splitting integrators as well as recently ...