TGraph: A Tensor-centric Graph Processing Framework
Summary: Proposes TGraph, the first tensor-centric graph framework that runs on any XPU via Tensor Computation Runtimes (TCRs). It provides a tensor-based computation model with operator abstractions, plus tensor compression and out-of-XPU-memory execution, enabling cross-backend deployment and fast BFS/WCC/SSSP on PyTorch/TensorFlow DL backends and GPUs. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yongliang Zhang (Wuhan University)
- 2. Yuanyuan Zhu (Wuhan University)
- 3. Hao Zhang (Huawei)
- 4. Congli Gao (Huawei)
- 5. Yuyang Wang (Wuhan University)
- 6. Guojing Li (Wuhan University)
- 7. Tianyang Xu (Wuhan University)
- 8. Ming Zhong (Wuhan University)
- 9. Jiawei Jiang (Wuhan University)
- 10. Tieyun Qian (Wuhan University)
- 11. Chenyi Zhang (Huawei)
- 12. Jeffrey Xu Yu (Chinese University of Hong Kong)
BibTeX Citation
@inproceedings{zhang_sigmod25,
title = {{TGraph: A Tensor-centric Graph Processing Framework}},
author = {Zhang, Yongliang and Zhu, Yuanyuan and Zhang, Hao and Gao, Congli and Wang, Yuyang and Li, Guojing and Xu, Tianyang and Zhong, Ming and Jiang, Jiawei and Qian, Tieyun and Zhang, Chenyi and Yu, Jeffrey Xu},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3709731},
url = {https://dl.acm.org/doi/10.1145/3709731},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,616 | ACGraph: An Efficient Asynchronous Out-of-Core Graph Processing Framework | 2026 | SIGMOD | 5.2434488e-05 |
| 10,252 | GraphRTX: Lighting the Way to Scalable Graph Analytics | 2026 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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