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AliGraph: A Comprehensive Graph Neural Network Platform
Summary: AliGraph: distributed graph storage, optimized sampling, and a runtime platform for GNN training and deployment, including in-house models. On Alibaba-scale data (492.9M vertices, 6.82B edges): 5-minute graph building, 40–50% faster training via caching, ~12x runtime speedups, and 4.12–17.19% F1 lift.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 11929
- Venue
- VLDB
- Year
- 2019
- Pagerank
- 0.00029230623
- Overall Rank
- 278 | 98.07%
- DOI
-
10.14778/3352063.3352127
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 9 of 59 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 10,638 |
Heta: Distributed Training of Heterogeneous Graph Neural Networks |
2025 |
VLDB |
4.1945683e-05 |
| 10,647 |
Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental Study |
2025 |
VLDB |
4.1945683e-05 |
| 10,735 |
Faster Convergence in Mini-batch Graph Neural Networks Training with Pseudo Full Neighborhood Compensation |
2025 |
VLDB |
4.1945683e-05 |
| 11,017 |
FlowWalker: A Memory-efficient and High-performance GPU-based Dynamic Graph Random Walk Framework |
2024 |
VLDB |
4.1945683e-05 |
| 11,033 |
TIGER: Training Inductive Graph Neural Network for Large-scale Knowledge Graph Reasoning |
2024 |
VLDB |
4.1945683e-05 |
| 11,079 |
Complex-Path: Effective and Efficient Node Ranking with Paths in Billion-Scale Heterogeneous Graphs |
2024 |
VLDB |
4.1945683e-05 |
| 11,204 |
Vineyard: Optimizing Data Sharing in Data-Intensive Analytics |
2023 |
SIGMOD |
4.1945683e-05 |
| 11,265 |
EmbedX: A Versatile, Efficient and Scalable Platform to Embed Both Graphs and High-Dimensional Sparse Data |
2023 |
VLDB |
4.1945683e-05 |
| 11,531 |
Fangorn: Adaptive Execution Framework for Heterogeneous Workloads on Shared Clusters |
2021 |
VLDB |
4.1945683e-05 |
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.
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