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ByteGNN: Efficient Graph Neural Network Training at Large Scale

Summary: ByteGNN enables scalable distributed GNN training with three designs: mini-batch sampling for high parallelism; a two-level scheduler for better resource use; and a GNN-aware partitioner. 3.5–23.8x end-to-end speedups, 2–6x CPU, ~50% network-cost reduction. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h3e125211f3c09628
Venue
VLDB
Year
2022
Pagerank
9.6601841e-05
Overall Rank
1,780 | 88.07%
DOI
10.14778/3514061.3514069
PDF
Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{zheng_vldb22,
        title = {{ByteGNN: Efficient Graph Neural Network Training at Large Scale}},
        author = {Zheng, Chenguang and Chen, Hongzhi and Cheng, Yuxuan and Song, Zhezheng and Wu, Yifan and Li, Changji and Cheng, James and Yang, Hao and Zhang, Shuai},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {6},
        pages = {1228--1242},
        doi = {10.14778/3514061.3514069},
        url = {https://doi.org/10.14778/3514061.3514069},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 22 of 22 citing papers.

Rank Citing Paper Year Venue Pagerank
4,524 NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams 2024 VLDB 6.5492325e-05
4,785 ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs 2024 VLDB 6.4033344e-05
4,850 DAHA: Accelerating GNN Training with Data and Hardware Aware Execution Planning 2024 VLDB 6.3682022e-05
4,875 Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective 2024 VLDB 6.3576702e-05
6,849 SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement 2024 SIGMOD 5.6488938e-05
7,036 Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental Study 2025 VLDB 5.5993909e-05
7,544 NeutronTask: Scalable and Efficient Multi-GPU GNN Training with Task Parallelism 2025 VLDB 5.4817498e-05
7,729 Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods 2025 VLDB 5.4511876e-05
8,041 Distributed Graph Embedding with Information-Oriented Random Walks 2023 VLDB 5.385603e-05
8,174 NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism 2025 VLDB 5.3692867e-05
8,698 Fight Fire with Fire: Towards Robust Graph Neural Networks on Dynamic Graphs via Actively Defense 2024 VLDB 5.2717835e-05
9,267 Effective and Efficient Distributed Temporal Graph Learning through Hotspot Memory Sharing 2025 VLDB 5.1860131e-05
9,835 NeutronHeter: Optimizing Distributed Graph Neural Network Training for Heterogeneous Clusters 2026 SIGMOD 5.1064323e-05
9,942 Scalable Graph Convolutional Network Training on Distributed-Memory Systems 2023 VLDB 5.0923288e-05
10,017 The Image Calculator: 10x Faster Image-AI Inference by Replacing JPEG with Self-designing Storage Format 2024 SIGMOD 5.0825892e-05
10,292 Graph Neural Network Training Systems: A Performance Comparison of Full-Graph and Mini-Batch 2025 VLDB 5.031399e-05
10,597 A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness 2026 SIGMOD 4.9605343e-05
10,681 SG-Serve: Efficient Model Serving for Subgraph-based Graph Representation Learning 2026 SIGMOD 4.9605343e-05
10,897 FeLoG: Scalable and Efficient Distributed Graph Embedding with Feedback Loop Mechanism 2026 VLDB 4.9605343e-05
11,113 NeutronCloud: Resource-Aware Distributed GNN Training in Fluctuating Cloud Environments 2026 VLDB 4.9605343e-05
11,352 Heta: Distributed Training of Heterogeneous Graph Neural Networks 2025 VLDB 4.9605343e-05
11,585 GE2: A General and Efficient Knowledge Graph Embedding Learning System 2024 SIGMOD 4.9605343e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
3 Pregel: A System for Large-Scale Graph Processing 2010 SIGMOD 0.0012089097
203 AliGraph: A Comprehensive Graph Neural Network Platform 2019 VLDB 0.00025234479
931 Blogel: A Block-Centric Framework for Distributed Computation on Real-World Graphs 2014 VLDB 0.00012993132
1,021 AGL: A Scalable System for Industrial-purpose Graph Machine Learning 2020 VLDB 0.00012408574
6,447 MIFO: A Query-Semantic Aware Resource Allocation Policy 2019 SIGMOD 5.7655496e-05
12,019 Vertex-Centric Visual Programming for Graph Neural Networks 2021 SIGMOD 4.9605343e-05
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