Jason Mohoney

Orcid: 0000-0001-5497-0481

According to our database1, Jason Mohoney authored at least 10 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Armada: Memory-Efficient Distributed Training of Large-Scale Graph Neural Networks.
CoRR, February, 2025

Quake: Adaptive Indexing for Vector Search.
Proceedings of the 19th USENIX Symposium on Operating Systems Design and Implementation, 2025

2024
Incremental IVF Index Maintenance for Streaming Vector Search.
CoRR, 2024

2023
High-Throughput Vector Similarity Search in Knowledge Graphs.
Proc. ACM Manag. Data, 2023

Fact Ranking over Large-Scale Knowledge Graphs with Reasoning Embedding Models.
IEEE Data Eng. Bull., 2023

MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks.
Proceedings of the Eighteenth European Conference on Computer Systems, 2023

2022
Marius++: Large-Scale Training of Graph Neural Networks on a Single Machine.
CoRR, 2022

2021
Demonstration of Marius: Graph Embeddings with a Single Machine.
Proc. VLDB Endow., 2021

Learning Massive Graph Embeddings on a Single Machine.
CoRR, 2021

Marius: Learning Massive Graph Embeddings on a Single Machine.
Proceedings of the 15th USENIX Symposium on Operating Systems Design and Implementation, 2021


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