Soheila Farokhi

PhD Candidate in the School of Computing at Utah State University.

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123 Science Engineering Research Building

Old Main Hill

Logan, Utah 84322

I am a Ph.D. candidate in the School of Computing at Utah State University, advised by Dr. Hamid Karimi. My research centers on graph machine learning (including temporal/dynamic graphs) and foundation-model fine-tuning. Before joining Utah State University, I earned my master’s degree from Sharif University of Technology in Tehran, Iran, in 2018, where I worked on computational geometry, specifically visibility graphs, under the supervision of Dr. Alireza Zarei.

I’m currently fine-tuning a Graph Language Model (GLM) that fuses graph structure with LLMs for classification, link prediction, and reasoning on text-attributed graphs; prior work includes large-scale Python/SQL pipelines and user-behavior prediction.

Useful links can be found at the bottom of this page.

news

Jan 14, 2026 My paper titled “TAWRMAC: A Novel Dynamic Graph Representation Learning Method” was accepted to The ACM Web Conference (TheWebConf), 2026. 🎉
Dec 15, 2024 I presented our paper titled “Advancing Tabular Data Classification with Graph Neural Networks: A Random Forest Proximity Method” at 2024 IEEE International Conference on Big Data (BigData).
Oct 25, 2024 I successfully passed my Qualifying Exam! :sparkles:
Sep 05, 2024 I remotely presented my paper titled “EDGE-UP: Enhanced Dynamic GNN Ensemble for Unfollow Prediction in Online Social Networks” at International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

selected publications

  1. TheWebConf
    TAWRMAC: A Novel Dynamic Graph Representation Learning Method
    Soheila Farokhi, Xiaojun Qi, and Hamid Karimi
    2026
  2. BigData
    Advancing Tabular Data Classification with Graph Neural Networks: A Random Forest Proximity Method
    Soheila Farokhi, Haozhe Chen, Kevin Moon, and 1 more author
    In 2024 IEEE International Conference on Big Data (BigData), 2024
    DOI
  3. ASONAM
    EDGE-UP: Enhanced Dynamic GNN Ensemble for Unfollow Prediction in Online Social Networks
    Soheila Farokhi, Arash Azizian Foumani, Xiaojun Qi, and 2 more authors
    In International Conference on Advances in Social Networks Analysis and Mining, 2024
    DOI
  4. DSAA
    Enhancing the performance of automated grade prediction in mooc using graph representation learning
    Soheila Farokhi, Aswani Yaramal, Jiangtao Huang, and 3 more authors
    In 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA), 2023
    DOI