TC-Match: Fast Time-constrained Continuous Subgraph Matching
Summary: TC-Match tackles time-constrained continuous subgraph matching on streaming graphs, enforcing structural isomorphism plus query timing-order constraints for real-time apps. Core: CSS, an edge-centric k-partite index capturing partial embeddings/timing and an incremental node-merging matcher — up to 3 orders of magnitude faster and ~49–87% less memory. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jianye Yang (Guangdong University of Technology; Peng Cheng Laboratory)
- 2. Sheng Fang (Guangdong University of Technology)
- 3. Zhaoquan Gu (Harbin Engineering University; Peng Cheng Laboratory)
- 4. Ziyi Ma (Hebei University of Technology)
- 5. Xuemin Lin (Shanghai Jiao Tong University)
- 6. Zhihong Tian (Guangdong University of Technology)
BibTeX Citation
@article{yang_vldb24,
title = {{TC-Match: Fast Time-constrained Continuous Subgraph Matching}},
author = {Yang, Jianye and Fang, Sheng and Gu, Zhaoquan and Ma, Ziyi and Lin, Xuemin and Tian, Zhihong},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {11},
pages = {2791--2804},
doi = {10.14778/3681954.3681963},
url = {https://doi.org/10.14778/3681954.3681963},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,617 | An Extensive Experimental Study of Indexes in Continuous Subgraph Matching:[Experiments & Analysis] | 2026 | SIGMOD | 4.9793485e-05 |
| 10,705 | Efficient Temporal Subgraph Management: A New Interval Index | 2026 | VLDB | 4.9793485e-05 |
| 11,286 | Efficient and Accurate Subgraph Counting: A Bottom-up Flow-learning Based Approach | 2025 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 24 of 24 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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