A Graph Neural Network Approach for Social Networks

A Graph Neural Network Approach for Social Networks

Deep Learning on graphs is a particularly important area in Machine Learning, especially when examining social networks.  In this project you will explore the application of Graph Neural Networks on examining online social network content, which is inter-related and challenging to process due to its limited context. You will use state-of-the-art graph neural network approaches and tools for processing social networking data.


This project started as a Cmpe491 project. It received third place. During Cmpe492 the work will intensify with more sophisticated models and larger datasets.


Project Poster: 

Project Members: 

Doğukan Akar
Berkay Bör
Hazar Çakır

Project Advisor: 

Pınar Yanardağ

Project Status: 

Project Year: 

  • Fall

Contact us

Department of Computer Engineering, Boğaziçi University,
34342 Bebek, Istanbul, Turkey

  • Phone: +90 212 359 45 23/24
  • Fax: +90 212 2872461

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