Trinity: A Distributed Graph Engine on a Memory Cloud
Summary: Trinity is a distributed memory-cloud graph engine for memory-based, random-access graph computations. Optimized memory and network design plus a high-level TSL language enable fast online queries and scalable offline analytics on commodity hardware. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Bin Shao (Microsoft)
- 2. Haixun Wang (Microsoft)
- 3. Yatao Li (Hong Kong University of Science and Technology)
BibTeX Citation
@inproceedings{shao_sigmod13,
title = {{Trinity: A Distributed Graph Engine on a Memory Cloud}},
author = {Shao, Bin and Wang, Haixun and Li, Yatao},
series = {{SIGMOD} '13},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2463676.2467799},
url = {https://dl.acm.org/doi/10.1145/2463676.2467799},
year = {2013}
}Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3 | Pregel: A System for Large-Scale Graph Processing | 2010 | SIGMOD | 0.0012087459 |
| 443 | Efficient Subgraph Matching on Billion Node Graphs | 2012 | VLDB | 0.00018190518 |
| 935 | Probase: A Probabilistic Taxonomy for Text Understanding | 2012 | SIGMOD | 0.00012998175 |
| 1,410 | A Distributed Graph Engine for Web Scale RDF Data | 2013 | VLDB | 0.00010737126 |
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