HUGE: An Efficient and Scalable Subgraph Enumeration System
Summary: HUGE is a scalable distributed subgraph-enumeration system. Key ideas: optimiser, hybrid push/pull communication, 2-stage lock-free cache, BFS/DFS-adaptive scheduling, and two-layer load balancing—plug-in with existing subgraph algorithms for bounded-memory speedups. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Zhengyi Yang (University of New South Wales)
- 2. Longbin Lai (Alibaba)
- 3. Xuemin Lin (University of New South Wales)
- 4. Kongzhang Hao (University of New South Wales)
- 5. Wenjie Zhang (University of New South Wales)
BibTeX Citation
@inproceedings{yang_sigmod21,
title = {{HUGE: An Efficient and Scalable Subgraph Enumeration System}},
author = {Yang, Zhengyi and Lai, Longbin and Lin, Xuemin and Hao, Kongzhang and Zhang, Wenjie},
series = {{SIGMOD} '21},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3448016.3457237},
url = {https://dl.acm.org/doi/10.1145/3448016.3457237},
year = {2021}
}
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