Efficient Meta-subgraph Instance Search over Large Heterogeneous Information Networks
Summary: Formalizes meta-subgraph instance search in HINs, retrieving schema-fixed instances directly without embedding enumeration. Develops adjacency-aware AGM bounds and star-based cross-star pruning, achieving up to 100× speedups on large networks. (summarized by gpt-5.6-luna on Jul 26 2026)
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Authors
- 1. Lu Chen (Swinburne University of Technology)
- 2. Chengfei Liu (Swinburne University of Technology)
- 3. Rui Zhou (Swinburne University of Technology)
- 4. Jiajie Xu (Soochow University)
- 5. Jianxin Li (Edith Cowan University)
BibTeX Citation
@inproceedings{chen_sigmod26,
title = {{Efficient Meta-subgraph Instance Search over Large Heterogeneous Information Networks}},
author = {Chen, Lu and Liu, Chengfei and Zhou, Rui and Xu, Jiajie and Li, Jianxin},
series = {{SIGMOD} '26},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3802047},
url = {https://dl.acm.org/doi/10.1145/3802047},
year = {2026}
}
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