Revisiting Graph Analytics Benchmark
Summary: New graph analytics benchmark: eight core algorithms selected from academia and industry; eight new synthetic datasets. Introduces a first-of-its-kind multi-level LLM-based API usability framework and validates performance across leading platforms (GraphX, PowerGraph, Pregel+, Ligra). (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Lingkai Meng (Shanghai Jiao Tong University)
- 2. Yu Shao (East China Normal University)
- 3. Long Yuan (Wuhan University)
- 4. Longbin Lai (Alibaba)
- 5. Peng Cheng (Tongji University)
- 6. Xue Li (Alibaba)
- 7. Wenyuan Yu (Alibaba)
- 8. Wenjie Zhang (University of New South Wales)
- 9. Xuemin Lin (Shanghai Jiao Tong University)
- 10. Jingren Zhou (Alibaba)
BibTeX Citation
@inproceedings{meng_sigmod25,
title = {{Revisiting Graph Analytics Benchmark}},
author = {Meng, Lingkai and Shao, Yu and Yuan, Long and Lai, Longbin and Cheng, Peng and Li, Xue and Yu, Wenyuan and Zhang, Wenjie and Lin, Xuemin and Zhou, Jingren},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3725345},
url = {https://dl.acm.org/doi/10.1145/3725345},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,373 | Gem: Scalable Monotonic Graph Processing Beyond Billion-Scale on a Single Machine | 2026 | SIGMOD | 5.093636e-05 |
| 10,411 | Triangle Counting in Hypergraph Streams: A Complete and Practical Approach | 2026 | SIGMOD | 5.093636e-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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