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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
h88e4c202a8d98591
Venue
VLDB
Year
2024
Pagerank
6.5740722e-05
Overall Rank
4,502 | 69.74%
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 11 of 11 citing papers.

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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
211 AliGraph: A Comprehensive Graph Neural Network Platform 2019 VLDB 0.00024816965
881 APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding 2021 SIGMOD 0.00013278822
1,134 SANCUS: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks 2022 VLDB 0.00011893521
1,280 LiveGraph: A Transactional Graph Storage System with Purely Sequential Adjacency List Scans 2020 VLDB 0.00011223622
1,364 TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs 2022 VLDB 0.00010914152
1,772 ByteGNN: Efficient Graph Neural Network Training at Large Scale 2022 VLDB 9.6792287e-05
2,029 Teseo and the Analysis of Structural Dynamic Graphs 2021 VLDB 9.1592382e-05
2,279 NeutronStar: Distributed GNN Training with Hybrid Dependency Management 2022 SIGMOD 8.7062637e-05
2,506 DUCATI: A Dual-Cache Training System for Graph Neural Networks on Giant Graphs with the GPU 2023 SIGMOD 8.3774747e-05
2,519 HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework 2022 VLDB 8.3521095e-05
2,863 Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching 2022 VLDB 7.9301802e-05
3,017 Zebra: When Temporal Graph Neural Networks Meet Temporal Personalized PageRank 2023 VLDB 7.7471344e-05
7,263 An I/O-Efficient Disk-based Graph System for Scalable Second-Order Random Walk of Large Graphs 2022 VLDB 5.5711876e-05
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