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2020 – today
- 2023
[j3]Hongyu Ren, Ali Mousavi, Anil Pacaci, Shihabur Rahman Chowdhury, Jason Mohoney, Ihab F. Ilyas, Yunyao Li, Theodoros Rekatsinas:
Fact Ranking over Large-Scale Knowledge Graphs with Reasoning Embedding Models. IEEE Data Eng. Bull. 46(2): 126-139 (2023)- [j2]Jason Mohoney
, Anil Pacaci, Shihabur Rahman Chowdhury, Ali Mousavi, Ihab F. Ilyas, Umar Farooq Minhas, Jeffrey Pound, Theodoros Rekatsinas:
High-Throughput Vector Similarity Search in Knowledge Graphs. Proc. ACM Manag. Data 1(2): 197:1-197:25 (2023) - [c2]Roger Waleffe, Jason Mohoney, Theodoros Rekatsinas, Shivaram Venkataraman:
MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks. EuroSys 2023: 144-161 - [i3]Jason Mohoney, Anil Pacaci, Shihabur Rahman Chowdhury, Ali Mousavi, Ihab F. Ilyas, Umar Farooq Minhas, Jeffrey Pound, Theodoros Rekatsinas:
High-Throughput Vector Similarity Search in Knowledge Graphs. CoRR abs/2304.01926 (2023) - 2022
- [i2]Roger Waleffe, Jason Mohoney, Theodoros Rekatsinas, Shivaram Venkataraman:
Marius++: Large-Scale Training of Graph Neural Networks on a Single Machine. CoRR abs/2202.02365 (2022) - 2021
- [j1]Anders Carlsson, Anze Xie, Jason Mohoney, Roger Waleffe, Shanan Peters, Theodoros Rekatsinas, Shivaram Venkataraman:
Demonstration of Marius: Graph Embeddings with a Single Machine. Proc. VLDB Endow. 14(12): 2759-2762 (2021) - [c1]Jason Mohoney, Roger Waleffe, Henry Xu, Theodoros Rekatsinas, Shivaram Venkataraman:
Marius: Learning Massive Graph Embeddings on a Single Machine. OSDI 2021: 533-549 - [i1]Jason Mohoney, Roger Waleffe, Yiheng Xu, Theodoros Rekatsinas, Shivaram Venkataraman:
Learning Massive Graph Embeddings on a Single Machine. CoRR abs/2101.08358 (2021)
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