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 64 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 |
|---|---|---|---|---|
| 902 | Parallelizing Sequential Graph Computations | 2017 | SIGMOD | 0.00013142001 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 1,372 | TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs | 2022 | VLDB |
| 2 | 1,682 | Navigating the Maze of Graph Analytics Frameworks using Massive Graph Datasets | 2014 | SIGMOD |
| 3 | 4,875 | Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective | 2024 | VLDB |
| 4 | 6,478 | ALG: Fast and Accurate Active Learning Framework for Graph Convolutional Networks | 2021 | SIGMOD |
| 5 | 4,848 | Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage Accesses | 2024 | VLDB |
| 6 | 6,002 | Neural Attributed Community Search at Billion Scale | 2023 | SIGMOD |
| 7 | 6,686 | Efficient Training of Graph Neural Networks on Large Graphs | 2024 | VLDB |
| 8 | 1,780 | ByteGNN: Efficient Graph Neural Network Training at Large Scale | 2022 | VLDB |
| 9 | 1,021 | AGL: A Scalable System for Industrial-purpose Graph Machine Learning | 2020 | VLDB |
| 10 | 2,325 | Scalable and Efficient Full-Graph GNN Training for Large Graphs | 2023 | SIGMOD |