International Symposium on Telecommunication (IST)

Please wait ...

Home / 11th International Symposium on Telecommunication (IST'2024)

Constrained Utility Driven Graph Summarization

Authors :

Shadie Azizi¹ Hadi Zare² Sasan Hossein Alizadeh³

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.

List of archived papers

SegLoc: Visual Self-supervised Learning Scheme for Dense Prediction Tasks on X-ray Images

Shervin Halat - Mohammad Rahmati - Ehsan Nazerfard

Classifying Benign and Malicious Websites through URL Feature Extraction Using Transfer Learning

Majid Nezarat - Erfan Khedersolh - HadiShahriar Shahhoseini

An overview of the components of digital transformation from the perspective of models and frameworks presented in international reports

Seyyed Mohammadhossein Alipour - Atefeh Farazmand - Farshad Hakamizadeh

Insurance of liability for self-driving cars

Hussein Taleb - Mohammad Hadi Bokaei - Davood Heidari kani - Farbod Rabizadeh Fard - Elham Rafati - Neda Nedaei

Hybrid Precoding Design based on Alternating Optimization in mmWave MIMO Systems

Mehrdad Momen-Tayefeh - Ali Olfat - Mojtaba Amiri

LSTM-based Framework for 5G Resource Allocation Prediction

Amin Pourmahbobi - Hamed Tabrizchi

Multicore Photonic Crystal Fiber Plasmonic Sensor

Parisa Borjikhani - Nosrat Granpayeh - Babak Nasersharif

Local Graph Convolutional Network for Hyperspectral Target Detection

Maryam Imani

CNN Accelerator Adapted to Quasi Structured Pruning and Dense Mode Using FPGA

Hossein Gharaee - Parviz Amiri - Amirhossein Sadough - Mohammad Hossein Maghami

OODA-Based Architectural Framework for a National Cyber Crisis Management Center With ISAS Integration

Fatemeh Imanimehr - Alireza Enayati - Marjan Bahrololum

more

Samin Hamayesh - Version 44.9.0