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11th International Symposium on Telecommunication (IST'2024)
Constrained Utility Driven Graph Summarization
Authors :
Shadie Azizi
1
Hadi Zare
2
Sasan Hossein Alizadeh
3
1- university of tehran
2- university of tehran
3- ICT Research Center
Keywords :
graph summarization،utility،reconstruction error،large graphs
Abstract :
The substantial volume of data impedes rapid processing. So graph summarization is employed to reduce graph size while preserving key features. This paper aims to achieve graph summarization with a high compression rate, retaining essential information. Previous works focus on either maintaining neighborhood or safeguarding important data. An aggregated objective function is introduced to create a summarized graph that maintains useful information and node neighborhoods. A tree based algorithm is proposed to align with this objective function. The experimental findings indicate that the proposed algorithm outperforms its competitors in terms of standard evaluation measures by achieving a higher summarization rate and maintaining utility.
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