Efficient Processing of Distance Queries in Large Graphs: A Vertex Cover Approach
Summary: Disk-based, tree-structured index for single-source distance queries in massive graphs, leveraging vertex-cover partitioning to enable I/O-efficient query processing. I/O-efficient construction algorithm with explicit CPU/I/O bounds; validated on real-world large graphs, showing scalable performance. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. James Cheng (Nanyang Technological University)
- 2. Yiping Ke (Institute of High Performance Computing)
- 3. Shumo Chu (Nanyang Technological University)
- 4. Carter Cheng (Nanyang Technological University)
BibTeX Citation
@inproceedings{cheng_sigmod12,
title = {{Efficient Processing of Distance Queries in Large Graphs: A Vertex Cover Approach}},
author = {Cheng, James and Ke, Yiping and Chu, Shumo and Cheng, Carter},
series = {{SIGMOD} '12},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2213836.2213888},
url = {https://dl.acm.org/doi/10.1145/2213836.2213888},
year = {2012}
}
Incoming Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 370 | TEDI: Efficient Shortest Path Query Answering on Graphs | 2010 | SIGMOD | 0.00019937972 |
| 674 | Finding Maximal Cliques in Massive Networks by H*-graph | 2010 | SIGMOD | 0.00015081844 |
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