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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
13700
Venue
VLDB
Year
2024
Pagerank
5.5567697e-05
Overall Rank
5,345 | 62.82%
DOI
10.14778/3632093.3632108

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 10 of 10 citing papers.

Rank Citing Paper Year Venue Pagerank
5,710 DynaHB: A Communication-Avoiding Asynchronous Distributed Framework with Hybrid Batches for Dynamic GNN Training 2024 VLDB 5.3590055e-05
5,737 Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective 2024 VLDB 5.3480667e-05
10,035 SWIFT: Enabling Large-Scale Temporal Graph Learning on a Single Machine 2026 SIGMOD 4.1945683e-05
10,135 ABFlow: Alert Bursting Flow Query in Streaming Temporal Flow Networks 2026 SIGMOD 4.1945683e-05
10,322 Understanding Evolving Graph Structures for Large Discrete-Time Dynamic Graph Representation 2026 VLDB 4.1945683e-05
10,506 SWASH: A Flexible Communication Framework with Sliding Window-Based Cache Sharing for Scalable DGNN Training 2025 SIGMOD 4.1945683e-05
10,634 PipeTGL: (Near) Zero Bubble Memory-based Temporal Graph Neural Network Training via Pipeline Optimization 2025 VLDB 4.1945683e-05
10,656 Effective and Efficient Distributed Temporal Graph Learning through Hotspot Memory Sharing 2025 VLDB 4.1945683e-05
10,673 When Speed meets Accuracy: an Efficient and Effective Graph Model for Temporal Link Prediction 2025 VLDB 4.1945683e-05
10,735 Faster Convergence in Mini-batch Graph Neural Networks Training with Pseudo Full Neighborhood Compensation 2025 VLDB 4.1945683e-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
278 AliGraph: A Comprehensive Graph Neural Network Platform 2019 VLDB 0.00029230623
636 APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding 2021 SIGMOD 0.00018846494
1,160 Sancus: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks 2022 VLDB 0.00013586221
1,387 TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs 2022 VLDB 0.00012261568
1,426 LiveGraph: A Transactional Graph Storage System with Purely Sequential Adjacency List Scans 2020 VLDB 0.00012050977
2,400 ByteGNN: Efficient Graph Neural Network Training at Large Scale 2022 VLDB 8.8955105e-05
2,422 DUCATI: A Dual-Cache Training System for Graph Neural Networks on Giant Graphs with the GPU 2023 SIGMOD 8.8499665e-05
2,677 HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework 2022 VLDB 8.3268401e-05
2,905 Teseo and the Analysis of Structural Dynamic Graphs 2021 VLDB 7.9352789e-05
3,025 NeutronStar: Distributed GNN Training with Hybrid Dependency Management 2022 SIGMOD 7.6906935e-05
3,276 Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching 2022 VLDB 7.2879718e-05
3,709 Zebra: When Temporal Graph Neural Networks Meet Temporal Personalized PageRank 2023 VLDB 6.8242482e-05
7,363 An I/O-Efficient Disk-based Graph System for Scalable Second-Order Random Walk of Large Graphs 2022 VLDB 4.7523184e-05
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