Nowadays, online social media has become an inseparable part of human life, also this
phenomenon is being used by individuals to send messages and share files via videos and …

In this paper, we introduce a novel method for graph indexing. We propose a hypergraph-
based model for graph data sets by allowing cluster overlapping. More precisely, in this …

Documents semantic representations built from open Knowledge Graphs (KGs) have proven
to be beneficial in tasks such as recommendation, user profiling, and document retrieval …

Over the last few years, there has been tremendous growth in digitizing collections of
cultural heritage documents. Thus, many challenges and open issues have been raised …

Les travaux de cette thèse se situent dans la cadre des approches structurelles pour la
recon-naissance de formes. Plus précisément, nous avons porté notre choix sur les …

As social media grows faster, harassment becomes more prevalent which leads to
considered fake detection a fascinating field among researchers. The graph nature of data …

The use of social networks is growing increasingly and people spend a lot of their time using
thesenetworks. Celebrities and companies have used these networks to connect with their …

Many problems in applied machine learning deal with graphs (also called networks),
including social networks, security, web data mining, protein function prediction, and …

The issue of detecting machine parts on the conveyor belt is solved in this contribution. The
graph matching algorithm that calculates the smallest distance between two graphs was …

This paper addresses the problem of completing agents missing preferences structured via
CP-nets in a multi-agent system. Existing approaches work under a strong and unrealistic …