Graph Data Mining with Arabesque
Summary: Arabesque offers a dedicated framework for graph data mining (subgraph enumeration, motifs) with a simple programming model. It scales to billions of subgraphs on hundreds of cores, addressing limitations of general graph analytics; demonstration highlights end-user experience. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Eslam Hussein (Hamad Bin Khalifa University; Qatar Computing Research Institute)
- 2. Abdurrahman Ghanem (Hamad Bin Khalifa University; Qatar Computing Research Institute)
- 3. Vinicius Vitor dos Santos Dias (Federal University of Minas Gerais)
- 4. Carlos H. C. Teixeira (Federal University of Minas Gerais)
- 5. Ghadeer AbuOda (Hamad Bin Khalifa University)
- 6. Marco Serafini (Hamad Bin Khalifa University; Qatar Computing Research Institute)
- 7. Georgos Siganos (Hamad Bin Khalifa University; Qatar Computing Research Institute)
- 8. Gianmarco De Francisci Morales (Hamad Bin Khalifa University; Qatar Computing Research Institute)
- 9. Ashraf Aboulnaga (Hamad Bin Khalifa University; Qatar Computing Research Institute)
- 10. Mohammed Zaki (Rensselaer Polytechnic Institute)
BibTeX Citation
@inproceedings{hussein_sigmod17,
title = {{Graph Data Mining with Arabesque}},
author = {Hussein, Eslam and Ghanem, Abdurrahman and Dias, Vinicius Vitor dos Santos and Teixeira, Carlos H. C. and AbuOda, Ghadeer and Serafini, Marco and Siganos, Georgos and Morales, Gianmarco De Francisci and Aboulnaga, Ashraf and Zaki, Mohammed},
series = {{SIGMOD} '17},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3035918.3058742},
url = {https://dl.acm.org/doi/10.1145/3035918.3058742},
year = {2017}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,522 | Fractal: A General-Purpose Graph Pattern Mining System | 2019 | SIGMOD | 8.4713567e-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 |
| 20 | Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud | 2012 | VLDB | 0.00056944564 |
| 211 | EmptyHeaded: A Relational Engine for Graph Processing | 2016 | SIGMOD | 0.00024797217 |
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