Subgraph Matching: on Compression and Computation
Summary: Addresses subgraph matching’s overlooked output crisis: materializing all occurrences can dominate computation. VCBC compresses matches into equivalent codes, while CBF computes these codes directly and prunes intermediates, achieving up to 10^5 compression and substantial speedups. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Miao Qiao (Massey University)
- 2. Hao Zhang (Chinese University of Hong Kong)
- 3. Hong Cheng (Chinese University of Hong Kong)
BibTeX Citation
@article{qiao_vldb18,
title = {{Subgraph Matching: on Compression and Computation}},
author = {Qiao, Miao and Zhang, Hao and Cheng, Hong},
journal = {PVLDB},
series = {{VLDB} '18},
volume = {11},
number = {2},
pages = {176--188},
doi = {10.14778/3149193.3149198},
url = {https://doi.org/10.14778/3149193.3149198},
year = {2018}
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