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NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams

Summary: NeutronStream models evolving graphs as chronologically ordered event streams and applies an optimized sliding window with incremental dynamic graph storage to capture spatial–temporal dependencies for dynamic GNN training. Includes a parallel execution engine and user APIs, achieving 1.48–5.87× speedups and ≈4% average accuracy improvement. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13888
Venue
VLDB
Year
2024
Pagerank
6.4684388e-05
Overall Rank
4,878 | 66.54%
DOI
10.14778/3632093.3632108

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{chen_vldb24,
        title = {{NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams}},
        author = {Chen, Chaoyi and Gao, Dechao and Zhang, Yanfeng and Wang, Qiange and Fu, Zhenbo and Zhang, Xuecang and Zhu, Junhua and Gu, Yu and Yu, Ge},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {3},
        pages = {455--468},
        doi = {10.14778/3632093.3632108},
        url = {https://doi.org/10.14778/3632093.3632108},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 10 of 10 citing papers.

Rank Citing Paper Year Venue Pagerank
5,316 Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective 2024 VLDB 6.2687017e-05
5,760 DynaHB: A Communication-Avoiding Asynchronous Distributed Framework with Hybrid Batches for Dynamic GNN Training 2024 VLDB 6.0961929e-05
10,330 SWIFT: Enabling Large-Scale Temporal Graph Learning on a Single Machine 2026 SIGMOD 5.093636e-05
10,424 ABFlow: Alert Bursting Flow Query in Streaming Temporal Flow Networks 2026 SIGMOD 5.093636e-05
10,620 Understanding Evolving Graph Structures for Large Discrete-Time Dynamic Graph Representation 2026 VLDB 5.093636e-05
10,780 SWASH: A Flexible Communication Framework with Sliding Window-Based Cache Sharing for Scalable DGNN Training 2025 SIGMOD 5.093636e-05
10,887 PipeTGL: (Near) Zero Bubble Memory-based Temporal Graph Neural Network Training via Pipeline Optimization 2025 VLDB 5.093636e-05
10,907 Effective and Efficient Distributed Temporal Graph Learning through Hotspot Memory Sharing 2025 VLDB 5.093636e-05
10,922 When Speed meets Accuracy: an Efficient and Effective Graph Model for Temporal Link Prediction 2025 VLDB 5.093636e-05
10,975 Faster Convergence in Mini-batch Graph Neural Networks Training with Pseudo Full Neighborhood Compensation 2025 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 13 of 13 cited papers.

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

Rank Cited Paper Year Venue Pagerank
223 AliGraph: A Comprehensive Graph Neural Network Platform 2019 VLDB 0.00024182473
920 APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding 2021 SIGMOD 0.00013209734
1,132 SANCUS: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks 2022 VLDB 0.00012041292
1,226 LiveGraph: A Transactional Graph Storage System with Purely Sequential Adjacency List Scans 2020 VLDB 0.00011589731
1,409 TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs 2022 VLDB 0.00010854808
1,863 ByteGNN: Efficient Graph Neural Network Training at Large Scale 2022 VLDB 9.5950349e-05
2,141 Teseo and the Analysis of Structural Dynamic Graphs 2021 VLDB 9.0978534e-05
2,485 HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework 2022 VLDB 8.5145736e-05
2,668 DUCATI: A Dual-Cache Training System for Graph Neural Networks on Giant Graphs with the GPU 2023 SIGMOD 8.2750247e-05
2,695 NeutronStar: Distributed GNN Training with Hybrid Dependency Management 2022 SIGMOD 8.2468134e-05
2,953 Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching 2022 VLDB 7.9237794e-05
3,210 Zebra: When Temporal Graph Neural Networks Meet Temporal Personalized PageRank 2023 VLDB 7.6352864e-05
7,201 An I/O-Efficient Disk-based Graph System for Scalable Second-Order Random Walk of Large Graphs 2022 VLDB 5.6755554e-05
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