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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)

Paper ID
h14675b7e3ecba201
Venue
VLDB
Year
2019
Pagerank
0.00024816965
Overall Rank
211 | 98.59%
DOI
10.14778/3352063.3352127

Incoming Non-self Citations Over Time

Authors

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 13 of 63 citing papers.

Rank Citing Paper Year Venue Pagerank
10,699 Automated Tensor-Relational Decomposition for Large-Scale Sparse Tensor Computation 2026 VLDB 4.9793485e-05
10,706 Efficient GNN Training on Giant Graphs with Collective Batching and Scheduling 2026 VLDB 4.9793485e-05
10,826 FeLoG: Scalable and Efficient Distributed Graph Embedding with Feedback Loop Mechanism 2026 VLDB 4.9793485e-05
10,939 BiLink: Bidirectional Meta-paths for Link Discovery in Billion-Scale Heterogeneous Graphs 2026 VLDB 4.9793485e-05
11,043 NeutronCloud: Resource-Aware Distributed GNN Training in Fluctuating Cloud Environments 2026 VLDB 4.9793485e-05
11,066 Understanding Evolving Graph Structures for Large Discrete-Time Dynamic Graph Representation 2026 VLDB 4.9793485e-05
11,289 Heta: Distributed Training of Heterogeneous Graph Neural Networks 2025 VLDB 4.9793485e-05
11,361 Faster Convergence in Mini-batch Graph Neural Networks Training with Pseudo Full Neighborhood Compensation 2025 VLDB 4.9793485e-05
11,564 FlowWalker: A Memory-efficient and High-performance GPU-based Dynamic Graph Random Walk Framework 2024 VLDB 4.9793485e-05
11,576 TIGER: Training Inductive Graph Neural Network for Large-scale Knowledge Graph Reasoning 2024 VLDB 4.9793485e-05
11,609 Complex-Path: Effective and Efficient Node Ranking with Paths in Billion-Scale Heterogeneous Graphs 2024 VLDB 4.9793485e-05
11,776 EmbedX: A Versatile, Efficient and Scalable Platform to Embed Both Graphs and High-Dimensional Sparse Data 2023 VLDB 4.9793485e-05
12,031 Fangorn: Adaptive Execution Framework for Heterogeneous Workloads on Shared Clusters 2021 VLDB 4.9793485e-05
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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
947 Parallelizing Sequential Graph Computations 2017 SIGMOD 0.00012914714
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