Systems for Big-Graphs
Summary: Tutorial on distributed big-graph systems, emphasizing why irregular, low-locality graph workloads challenge conventional parallel-database techniques. Covers distributed algorithms, graph partitioning, workload balancing, and open research directions. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Arijit Khan (ETH Zurich)
- 2. Sameh Elnikety (Microsoft)
BibTeX Citation
@article{khan_vldb14,
title = {{Systems for Big-Graphs}},
author = {Khan, Arijit and Elnikety, Sameh},
journal = {PVLDB},
series = {{VLDB} '14},
volume = {7},
number = {13},
pages = {1709--1712},
doi = {10.14778/2733004.2733058},
url = {https://doi.org/10.14778/2733004.2733058},
year = {2014}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,281 | A General-Purpose Query-Centric Framework for Querying Big Graphs | 2016 | VLDB | 5.6567845e-05 |
| 7,302 | Janus: Transactional Processing of Navigational and Analytical Graph Queries on Many-core Servers | 2017 | CIDR | 5.6505228e-05 |
| 7,845 | Graph Querying Meets HCI: State of the Art and Future Directions | 2017 | SIGMOD | 5.5332653e-05 |
| 9,704 | Quegel: A General-Purpose System for Querying Big Graphs | 2016 | SIGMOD | 5.2351259e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 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 |
| 1,387 | A Distributed Graph Engine for Web Scale RDF Data | 2013 | VLDB | 0.00010949523 |
| 1,803 | Towards Effective Partition Management for Large Graphs | 2012 | SIGMOD | 9.724402e-05 |
| 2,354 | epiC: an Extensible and Scalable System for Processing Big Data | 2014 | VLDB | 8.7060612e-05 |
| 3,109 | Managing Large Dynamic Graphs Efficiently | 2012 | SIGMOD | 7.7482727e-05 |
| 4,813 | Horton+: A Distributed System for Processing Declarative Reachability Queries over Partitioned Graphs | 2013 | VLDB | 6.4974292e-05 |
| 7,887 | Graph Data Management Systems for New Application Domains | 2011 | VLDB | 5.5221995e-05 |
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|---|---|---|---|---|
| 1 | 264 | The Ubiquity of Large Graphs and Surprising Challenges of Graph Processing | 2018 | VLDB |
| 2 | 4,695 | Graph Synopses, Sketches, and Streams: A Survey | 2012 | VLDB |
| 3 | 5,751 | Summarizing Static and Dynamic Big Graphs | 2017 | VLDB |
| 4 | 7,601 | Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods | 2025 | VLDB |
| 5 | 1,803 | Towards Effective Partition Management for Large Graphs | 2012 | SIGMOD |
| 6 | 7,887 | Graph Data Management Systems for New Application Domains | 2011 | VLDB |
| 7 | 3,109 | Managing Large Dynamic Graphs Efficiently | 2012 | SIGMOD |
| 8 | 1,875 | Large-Scale Distributed Graph Computing Systems: An Experimental Evaluation | 2015 | VLDB |
| 9 | 5,833 | Managing and Mining Large Graphs: Systems and Implementations | 2012 | SIGMOD |
| 10 | 6,450 | Big Graph Analytics Systems | 2016 | SIGMOD |