We investigate new approaches for frequent graph-based pattern mining in graph datasets and propose a novel algorithm called gSpan (graph-based Substructure pattern mining), which...
In this paper, we propose a semi-supervised learning approach for classifying program (bot) generated web search traffic from that of genuine human users. The work is motivated by...
Hongwen Kang, Kuansan Wang, David Soukal, Fritz Be...
Social network services have become a viable source of information for users. In Twitter, information deemed important by the community propagates through retweets. Studying the c...
In many domains, such as bioinformatics, cheminformatics, health informatics and social networks, data can be represented naturally as labeled graphs. To address the increasing ne...
We present the software tool “Web Graph Analyzer”. This tool is designed to perform a comprehensive analysis of the Web Graph structure. By Web Graph we mean a graph whose ver...
Konstantin Avrachenkov, Danil Nemirovsky, Natalia ...