Jason Mohoney

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 8

Top Topics

Learning Effect

Graph Embedding

Earliness Tardiness

Weighted Tardiness

Top Venues

Proc. VLDB Endow.

Proc. ACM Manag. Data

Publications

Roger Waleffe, Jason Mohoney, Theodoros Rekatsinas, Shivaram Venkataraman
MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks. EuroSys (2023)
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) (2023)
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 (2023)
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) (2023)
Roger Waleffe, Jason Mohoney, Theodoros Rekatsinas, Shivaram Venkataraman
Marius++: Large-Scale Training of Graph Neural Networks on a Single Machine. CoRR (2022)
Jason Mohoney, Roger Waleffe, Yiheng Xu, Theodoros Rekatsinas, Shivaram Venkataraman
Learning Massive Graph Embeddings on a Single Machine. CoRR (2021)
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) (2021)
Jason Mohoney, Roger Waleffe, Henry Xu, Theodoros Rekatsinas, Shivaram Venkataraman
Marius: Learning Massive Graph Embeddings on a Single Machine. OSDI (2021)