| Concrete autoencoders: Differentiable feature selection and reconstruction MF Balın, A Abid, J Zou International conference on machine learning, 444-453, 2019 | 295* | 2019 |
| Layer-Neighbor Sampling---Defusing Neighborhood Explosion in GNNs MF Balin, Ü Çatalyürek Advances in Neural Information Processing Systems 36, 2024 | 13 | 2024 |
| On Symmetric Rectilinear Partitioning A Yaşar, MF Balin, X An, K Sancak, ÜV Çatalyürek ACM Journal of Experimental Algorithmics (JEA) 27 (1), 1-26, 2022 | 12* | 2022 |
| Mg-gcn: A scalable multi-gpu gcn training framework MF Balin, K Sancak, UV Catalyurek Proceedings of the 51st International Conference on Parallel Processing, 1-11, 2022 | 12 | 2022 |
| A scalable graph generation algorithm to sample over a given shell distribution MY Özkaya, MF Balin, A Pinar, ÜV Çatalyürek 2020 IEEE International Parallel and Distributed Processing Symposium …, 2020 | 2 | 2020 |
| A Scalable and Effective Alternative to Graph Transformers K Sancak, Z Hua, J Fang, Y Xie, A Malevich, B Long, MF Balin, ... arXiv preprint arXiv:2406.12059, 2024 | | 2024 |
| Cooperative Minibatching in Graph Neural Networks MF Balin, D LaSalle, ÜV Çatalyürek arXiv preprint arXiv:2310.12403, 2023 | | 2023 |
| SGORP: A Subgradient-based Method for d-Dimensional Rectilinear Partitioning MF Balin, X An, A Yaşar, ÜV Çatalyürek arXiv preprint arXiv:2310.02470, 2023 | | 2023 |
| Do We Really Need Complicated Graph Learning Models?--A Simple but Effective Baseline K Sancak, MF Balin, U Catalyurek The Third Learning on Graphs Conference, 0 | | |
| SIRD: Symbolic Integration Rules Dataset V Sharma, MF Balin The 3rd Workshop on Mathematical Reasoning and AI at NeurIPS'23, 0 | | |
Ümit V. ÇatalyürekProfessor, Computational Science and Engineering, Georgia Institute of TechnologyVerified email at gatech.edu
