Behavior Query Discovery in System-Generated Temporal Graphs
Summary: Introduces TGMiner, a discriminative temporal-graph pattern miner that converts system logs into reusable query templates over heterogeneous, time-stamped interactions. Leveraging temporal growth-trend pruning, it prunes redundant patterns, delivering 6–32× speedups with expert-validated patterns at 97% precision and 91% recall. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Bo Zong (University of California Santa Barbara)
- 2. Xusheng Xiao (NEC Corporation)
- 3. Xifeng Yan (University of California Santa Barbara)
- 4. Zhichun Li (NEC Corporation)
- 5. Ambuj K. Singh (University of California Santa Barbara)
- 6. Zhenyu Wu (NEC Corporation)
- 7. Guofei Jiang (NEC Corporation)
- 8. Zhiyun Qian (University of California Riverside)
BibTeX Citation
@article{zong_vldb16,
title = {{Behavior Query Discovery in System-Generated Temporal Graphs}},
author = {Zong, Bo and Xiao, Xusheng and Yan, Xifeng and Li, Zhichun and Singh, Ambuj K. and Wu, Zhenyu and Jiang, Guofei and Qian, Zhiyun},
journal = {PVLDB},
series = {{VLDB} '16},
volume = {9},
number = {4},
pages = {240--251},
doi = {10.14778/2850583.2850591},
url = {https://doi.org/10.14778/2850583.2850591},
year = {2016}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,575 | AGIS: Fast Approximate Graph Pattern Mining with Structure-Informed Sampling | 2026 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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