Making Graphs Compact by Lossless Contraction
Summary: Introduces lossless graph contraction into supernodes carrying per-query-class synopses S_Q, enabling exact answers with on-demand decontraction. Generic across label-based or not, local or global queries; adapts existing algorithms (subgraph isomorphism, triangle counting, shortest path) with incremental updates, achieving ~71% compression and ~1.5–2.1x speedups. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Wenfei Fan (Beihang University; Shenzhen University; University of Edinburgh)
- 2. Yuanhao Li (University of Edinburgh)
- 3. Muyang Liu (University of Edinburgh)
- 4. Can Lu (Shenzhen University)
BibTeX Citation
@inproceedings{fan_sigmod21,
title = {{Making Graphs Compact by Lossless Contraction}},
author = {Fan, Wenfei and Li, Yuanhao and Liu, Muyang and Lu, Can},
series = {{SIGMOD} '21},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3448016.3452797},
url = {https://dl.acm.org/doi/10.1145/3448016.3452797},
year = {2021}
}
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,876 | A Hierarchical Contraction Scheme for Querying Big Graphs | 2022 | SIGMOD | 5.7483615e-05 |
| 10,376 | GraphTwin: Cache-Centric Bit-Level Graph Representation for Fast and Exact Graph Queries | 2026 | SIGMOD | 5.093636e-05 |
| 11,178 | Graph Summarization: Compactness Meets Efficiency | 2024 | SIGMOD | 5.093636e-05 |
| 11,241 | Poligras: Policy-based Graph Summarization | 2024 | VLDB | 5.093636e-05 |
| 11,344 | Neighborhood-Preserving Graph Sparsification | 2024 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 16 of 16 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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| 8 | 1,163 | Local Graph Sparsification for Scalable Clustering | 2011 | SIGMOD |
| 9 | 6,876 | A Hierarchical Contraction Scheme for Querying Big Graphs | 2022 | SIGMOD |
| 10 | 1,336 | Query Preserving Graph Compression | 2012 | SIGMOD |