DBScholar

Back to papers

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
6.5492325e-05
Overall Rank
4,524 | 69.68%
DOI
10.14778/3632093.3632108
PDF
Download (CC BY-NC-ND 4.0)

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.

Previous Page 1 / 1 Next

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
203 AliGraph: A Comprehensive Graph Neural Network Platform 2019 VLDB 0.00025234479
884 APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding 2021 SIGMOD 0.00013228682
1,047 SANCUS: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks 2022 VLDB 0.00012313386
1,287 LiveGraph: A Transactional Graph Storage System with Purely Sequential Adjacency List Scans 2020 VLDB 0.00011181449
1,372 TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs 2022 VLDB 0.00010873001
1,780 ByteGNN: Efficient Graph Neural Network Training at Large Scale 2022 VLDB 9.6601841e-05
2,044 Teseo and the Analysis of Structural Dynamic Graphs 2021 VLDB 9.1246306e-05
2,273 NeutronStar: Distributed GNN Training with Hybrid Dependency Management 2022 SIGMOD 8.7079974e-05
2,513 DUCATI: A Dual-Cache Training System for Graph Neural Networks on Giant Graphs with the GPU 2023 SIGMOD 8.3467757e-05
2,525 HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework 2022 VLDB 8.3302991e-05
2,859 Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching 2022 VLDB 7.9141159e-05
3,027 Zebra: When Temporal Graph Neural Networks Meet Temporal Personalized PageRank 2023 VLDB 7.7178623e-05
7,279 An I/O-Efficient Disk-based Graph System for Scalable Second-Order Random Walk of Large Graphs 2022 VLDB 5.551099e-05
Previous Page 1 / 1 Next

Semantically Similar Papers