AliGraph: A Comprehensive Graph Neural Network Platform
Summary: AliGraph is an Alibaba-deployed end-to-end GNN platform integrating distributed graph storage, optimized sampling, caching, and an extensible runtime for billion-scale graphs. On 493M vertices and 6.82B edges, it builds graphs in 5 minutes and achieves up to 12× faster training. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Rong Zhu (Alibaba)
- 2. Kun Zhao (Alibaba)
- 3. Hongxia Yang (Alibaba)
- 4. Wei Lin (Alibaba)
- 5. Chang Zhou (Alibaba)
- 6. Baole Ai (Alibaba)
- 7. Yong Li (Alibaba)
- 8. Jingren Zhou (Alibaba)
BibTeX Citation
@article{zhu_vldb19,
title = {{AliGraph: A Comprehensive Graph Neural Network Platform}},
author = {Zhu, Rong and Zhao, Kun and Yang, Hongxia and Lin, Wei and Zhou, Chang and Ai, Baole and Li, Yong and Zhou, Jingren},
journal = {PVLDB},
series = {{VLDB} '19},
volume = {12},
number = {12},
pages = {2094--2105},
doi = {10.14778/3352063.3352127},
url = {https://doi.org/10.14778/3352063.3352127},
year = {2019}
}Incoming Citations (Sorted by Pagerank)
Showing 50 of 63 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 948 | Parallelizing Sequential Graph Computations | 2017 | SIGMOD | 0.00012908602 |
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