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 …
R Manrique, F Cueto-Ramirez, O Mariño - Colombian Conference on …, 2018 - Springer
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 …
J Bordbar, S Ardalan, M Mohammadrezaie… - arXiv preprint arXiv …, 2022 - arxiv.org
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 …
M Mohammadrezaei - Electronic and Cyber Defense, 2021 - ecdj.ihu.ac.ir
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 …
V Ondroušek, J Kolomazník… - Proceedings of the 16th …, 2014 - ieeexplore.ieee.org
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 …
S El Fidha, NB Amor - 2014 6th International Conference of Soft …, 2014 - ieeexplore.ieee.org
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 …