Jason Mohoney

According to our database, Jason Mohoney authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Incremental IVF Index Maintenance for Streaming Vector Search.

Jason Mohoney, Anil Pacaci, Shihabur Rahman Chowdhury, Umar Farooq Minhas, Jeffrey Pound, Cédric Renggli, Nima Reyhani, Ihab F. Ilyas, Theodoros Rekatsinas, Shivaram Venkataraman

CoRR, 2024

2023

High-Throughput Vector Similarity Search in Knowledge Graphs.

Jason Mohoney, Anil Pacaci, Shihabur Rahman Chowdhury, Ali Mousavi, Ihab F. Ilyas, Umar Farooq Minhas, Jeffrey Pound, Theodoros Rekatsinas

Proc. ACM Manag. Data, 2023

Fact Ranking over Large-Scale Knowledge Graphs with Reasoning Embedding Models.

Hongyu Ren, Ali Mousavi, Anil Pacaci, Shihabur Rahman Chowdhury, Jason Mohoney, Ihab F. Ilyas, Yunyao Li, Theodoros Rekatsinas

IEEE Data Eng. Bull., 2023

MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks.

Roger Waleffe, Jason Mohoney, Theodoros Rekatsinas, Shivaram Venkataraman

Proceedings of the Eighteenth European Conference on Computer Systems, 2023

2022

Marius++: Large-Scale Training of Graph Neural Networks on a Single Machine.

Roger Waleffe, Jason Mohoney, Theodoros Rekatsinas, Shivaram Venkataraman

CoRR, 2022

2021

Demonstration of Marius: Graph Embeddings with a Single Machine.

Anders Carlsson, Anze Xie, Jason Mohoney, Roger Waleffe, Shanan Peters, Theodoros Rekatsinas, Shivaram Venkataraman

Proc. VLDB Endow., 2021

Learning Massive Graph Embeddings on a Single Machine.

Jason Mohoney, Roger Waleffe, Yiheng Xu, Theodoros Rekatsinas, Shivaram Venkataraman

CoRR, 2021

Marius: Learning Massive Graph Embeddings on a Single Machine.

Jason Mohoney, Roger Waleffe, Henry Xu, Theodoros Rekatsinas, Shivaram Venkataraman

Proceedings of the 15th USENIX Symposium on Operating Systems Design and Implementation, 2021