Managing and Mining Large Graphs: Systems and Implementations
Summary: Tutorial-style survey of large-graph management and mining systems, noting the lack of a standard graph stack and the prevalence of ad-hoc algorithms. Explores architectural constraints, programming models, and goals for a general-purpose graph system, reviewing representative systems and design perspectives across applications. (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. Yanghua Xiao (Fudan University; Microsoft)
BibTeX Citation
@inproceedings{shao_sigmod12,
title = {{Managing and Mining Large Graphs: Systems and Implementations}},
author = {Shao, Bin and Wang, Haixun and Xiao, Yanghua},
series = {{SIGMOD} '12},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2213836.2213907},
url = {https://dl.acm.org/doi/10.1145/2213836.2213907},
year = {2012}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 908 | Probase: A Probabilistic Taxonomy for Text Understanding | 2012 | SIGMOD | 0.00013300624 |
| 1,387 | A Distributed Graph Engine for Web Scale RDF Data | 2013 | VLDB | 0.00010949523 |
| 4,667 | Efficient Cohesive Subgraphs Detection in Parallel | 2014 | SIGMOD | 6.5768564e-05 |
| 11,942 | Declarative and distributed graph analytics with GRADOOP | 2018 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 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 | 0.0012250108 |
| 442 | Efficient Subgraph Matching on Billion Node Graphs | 2012 | VLDB | 0.00018398144 |
| 908 | Probase: A Probabilistic Taxonomy for Text Understanding | 2012 | SIGMOD | 0.00013300624 |
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