publications

2025

1. LLM

   

   RECIPE-TKG: From Sparse History to Structured Reasoning for LLM-based Temporal Knowledge Graph Completion

   Ömer Faruk Akgül^*, Feiyu Zhu^*, Yuxin Yang, and 2 more authors

   arXiv preprint arXiv:2505.17794, 2025

   Submitted to ACL ’26

   Bib

   @article{akgul2025recipe,
     title = {RECIPE-TKG: From Sparse History to Structured Reasoning for LLM-based Temporal Knowledge Graph Completion},
     author = {Akgül, Ömer Faruk and Zhu, Feiyu and Yang, Yuxin and Kannan, Rajgopal and Prasanna, Viktor},
     journal = {arXiv preprint arXiv:2505.17794},
     year = {2025},
     note = {Submitted to ACL '26},
   }

2. LLM

   

   Tina: Tiny Reasoning Models via LoRA

   Shangshang Wang, Julian Asilis, Ömer Faruk Akgül, and 3 more authors

   arXiv preprint arXiv:2504.15777, 2025

   Submitted to ICLR ’26

   Bib

   @article{wang2025tina,
     title = {Tina: Tiny Reasoning Models via LoRA},
     author = {Wang, Shangshang and Asilis, Julian and Akgül, Ömer Faruk and Bilgin, Enes Burak and Liu, Ollie and Neiswanger, Willie},
     journal = {arXiv preprint arXiv:2504.15777},
     year = {2025},
     note = {Submitted to ICLR '26},
   }

3. GNN

   

   Training Diverse Graph Experts for Ensembles: A Systematic Empirical Study

   Gangda Deng^*, Yuxin Yang^*, Ömer Faruk Akgül^*, and 4 more authors

   arXiv preprint arXiv:2510.18370, 2025

   Submitted to KDD ’26

   Bib

   @article{deng2025training,
     title = {Training Diverse Graph Experts for Ensembles: A Systematic Empirical Study},
     author = {Deng, Gangda and Yang, Yuxin and Akgül, Ömer Faruk and Zeng, Hanqing and Xia, Yinglong and Kannan, Rajgopal and Prasanna, Viktor},
     journal = {arXiv preprint arXiv:2510.18370},
     year = {2025},
     note = {Submitted to KDD '26},
   }

4. LLM

   

   Resa: Transparent Reasoning Models via SAEs

   Shangshang Wang, Julian Asilis, Ömer Faruk Akgül, and 4 more authors

   arXiv preprint arXiv:2506.09967, 2025

   NeurIPS 2025 Workshop on Efficient Reasoning

   Bib

   @article{wang2025resa,
     title = {Resa: Transparent Reasoning Models via SAEs},
     author = {Wang, Shangshang and Asilis, Julian and Akgül, Ömer Faruk and Bilgin, Enes Burak and Liu, Ollie and Fu, Deqing and Neiswanger, Willie},
     journal = {arXiv preprint arXiv:2506.09967},
     year = {2025},
     note = {NeurIPS 2025 Workshop on Efficient Reasoning},
   }

5. GNN

   

   Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information

   Ömer Faruk Akgül, Rajgopal Kannan, and Viktor Prasanna

   In Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI), 2025

   Bib

   @inproceedings{akgul2025conformal,
     title = {Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information},
     author = {Akgül, Ömer Faruk and Kannan, Rajgopal and Prasanna, Viktor},
     booktitle = {Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI)},
     year = {2025},
   }

2023

1. GNN

   

   An Efficient Distributed Graph Engine for Deep Learning on Graphs

   Gangda Deng^*, Ömer Faruk Akgül^*, Hongkuan Zhou, and 4 more authors

   In Proceedings of the SC’23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, 2023

   Bib

   @inproceedings{deng2023efficient,
     title = {An Efficient Distributed Graph Engine for Deep Learning on Graphs},
     author = {Deng, Gangda and Akgül, Ömer Faruk and Zhou, Hongkuan and Zeng, Hanqing and Xia, Yinglong and Li, Jianbo and Prasanna, Viktor},
     booktitle = {Proceedings of the SC'23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis},
     pages = {922--931},
     year = {2023}
   }