IEEE

A min-max cut algorithm for graph partitioning and data clustering

Abstract: An important application of graph partitioning is data clustering using a graph model - the pairwise similarities between all data objects form a weighted graph adjacency matrix that ...
Scientific Research Publishing

A Study of Triangle Inequality Violations in Social Network Clustering ()

1 Department of Computer Science and Engineering, Jahangirnagar University, Dhaka, Bangladesh. 2 Brandenburg University of Technology Cottbus-Senftenberg, Cottbus, Germany. A social network refers to ...
Frontiers

Editorial: Graph representation learning in biological network

Network modeling is a powerful alternative in computational biology for deciphering valuable and novel insights into complex molecular interactions and functions of biological systems (Guzzi and Roy, ...
IEEE

Contrastive Graph Convolutional Networks With Generative Adjacency Matrix

Abstract: Semi-supervised node classification with Graph Convolutional Network (GCN) is an attractive topic in social media analysis and applications. Recent studies show that GCN-based classification ...
Scientific Research Publishing

On the Number of Cycles in a Graph ()

In this paper, we obtain explicit formulae for the number of 7-cycles and the total number of cycles of lengths 6 and 7 which contain a specific vertex v i in a simple graph G, in terms of the ...