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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)

Paper ID
13892
Venue
VLDB
Year
2024
Pagerank
5.166346e-05
Overall Rank
10,060 | 30.98%
DOI
10.14778/3704965.3704967

Incoming Non-self Citations Over Time

Authors

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}
}

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