TenGraph: A Tensor-Based Graph Query Engine
Summary: TenGraph maps in-memory graph topology into a compact tensor storage and composes graph-query operators as batched tensor computations to exploit DL frameworks' hardware-optimized kernels. PyTorch prototype yields 50–100× GPU vs CPU speedups and outperforms other systems. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Guanghua Li (Hong Kong University of Science and Technology)
- 2. Hao Zhang (Huawei)
- 3. Xibo Sun (Hong Kong University of Science and Technology)
- 4. Qiong Luo (Hong Kong University of Science and Technology)
- 5. Yuanyuan Zhu (Wuhan University)
BibTeX Citation
@article{li_vldb24,
title = {{TenGraph: A Tensor-Based Graph Query Engine}},
author = {Li, Guanghua and Zhang, Hao and Sun, Xibo and Luo, Qiong and Zhu, Yuanyuan},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {13},
pages = {4571--4584},
doi = {10.14778/3704965.3704967},
url = {https://doi.org/10.14778/3704965.3704967},
year = {2024}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,368 | Subgraph Matching: A New Decomposition Based Approach | 2025 | VLDB | 5.1843659e-05 |
| 10,625 | Accelerating Triangle-Connected Truss Community Search Across Heterogeneous Hardware | 2026 | SIGMOD | 4.9769913e-05 |
| 10,998 | Aquila: A High-Concurrency System for Incremental Graph Query | 2026 | VLDB | 4.9769913e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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