| Marius: Learning massive graph embeddings on a single machine J Mohoney, R Waleffe, Y Xu, T Rekatsinas, S Venkataraman 15th {USENIX} Symposium on Operating Systems Design and Implementation …, 2021 | 95 | 2021 |
| Mariusgnn: Resource-efficient out-of-core training of graph neural networks R Waleffe, J Mohoney, T Rekatsinas, S Venkataraman Proceedings of the Eighteenth European Conference on Computer Systems, 144-161, 2023 | 82* | 2023 |
| High-throughput vector similarity search in knowledge graphs J Mohoney, A Pacaci, SR Chowdhury, A Mousavi, IF Ilyas, UF Minhas, ... Proceedings of the ACM on Management of Data 1 (2), 1-25, 2023 | 61 | 2023 |
| Incremental IVF Index Maintenance for Streaming Vector Search J Mohoney, A Pacaci, SR Chowdhury, UF Minhas, J Pound, C Renggli, ... arXiv preprint arXiv:2411.00970, 2024 | 14 | 2024 |
| Quake: Adaptive Indexing for Vector Search J Mohoney, D Sarda, M Tang, SR Chowdhury, A Pacaci, IF Ilyas, ... OSDI '25, 2025 | 9 | 2025 |
| Demo of Marius: a System for Large-scale Graph Embeddings A Xie, A Carlsson, J Mohoney, R Waleffe, S Peters, T Rekatsinas, ... Proceedings of the VLDB Endowment 14 (12), 2759-2762, 2021 | 5 | 2021 |
| Fact Ranking over Large-Scale Knowledge Graphs with Reasoning Embedding Models H Ren, A Mousavi, A Pacaci, SR Chowdhury, J Mohoney, IF Ilyas, Y Li, ... Data Engineering, 124, 2023 | 4 | 2023 |
| Armada: Memory-Efficient Distributed Training of Large-Scale Graph Neural Networks R Waleffe, D Sarda, J Mohoney, EV Vlatakis-Gkaragkounis, T Rekatsinas, ... arXiv preprint arXiv:2502.17846, 2025 | 1 | 2025 |
| Optimistic Asynchrony Control: Achieving Synchronous Convergence With Asynchronous Throughput for Embedding Model Training R Waleffe, J Mohoney 2nd Workshop on Advancing Neural Network Training: Computational Efficiency …, 2024 | 1 | 2024 |
| I/O Minimization for Machine Learning Systems J Mohoney The University of Wisconsin-Madison, 2025 | | 2025 |
Theodoros RekatsinasAppleVerified email at inf.ethz.ch
