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SWIFT: Enabling Large-Scale Temporal Graph Learning on a Single Machine

Summary: SWIFT is the first secondary-memory-based T-GNN training system for large-scale temporal graphs on a single machine. It uses bucket-based pipeline parallelism across GPU, main, and secondary memories to alleviate data/memory bottlenecks, delivering up to 4.3x speedup and 7.9x lower main memory than baselines. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h648bcb6b00ca6853
Venue
SIGMOD
Year
2026
Pagerank
4.9793485e-05
Overall Rank
10,535 | 29.17%
DOI
10.1145/3749184

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Authors

BibTeX Citation

@inproceedings{guo_sigmod26,
        title = {{SWIFT: Enabling Large-Scale Temporal Graph Learning on a Single Machine}},
        author = {Guo, Rui and Ding, Zezhong and Xie, Xike and Xu, Jianliang},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3749184},
        url = {https://dl.acm.org/doi/10.1145/3749184},
        year = {2026}
}

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Outgoing Citations (Sorted by Pagerank)

Showing 17 of 17 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
1,364 TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs 2022 VLDB 0.00010914152
1,613 Starling: An I/O-Efficient Disk-Resident Graph Index Framework for High-Dimensional Vector Similarity Search on Data Segment 2024 SIGMOD 0.00010072237
3,017 Zebra: When Temporal Graph Neural Networks Meet Temporal Personalized PageRank 2023 VLDB 7.7471344e-05
3,399 Orca: Scalable Temporal Graph Neural Network Training with Theoretical Guarantees 2023 SIGMOD 7.3349076e-05
4,502 NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams 2024 VLDB 6.5740722e-05
4,764 ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs 2024 VLDB 6.4276208e-05
4,993 DGC: Training Dynamic Graphs with Spatio-Temporal Non-Uniformity using Graph Partitioning by Chunks 2023 SIGMOD 6.32357e-05
5,310 DynaHB: A Communication-Avoiding Asynchronous Distributed Framework with Hybrid Batches for Dynamic GNN Training 2024 VLDB 6.1857447e-05
6,109 GENTI: GPU-powered Walk-based Subgraph Extraction for Scalable Representation Learning on Dynamic Graphs 2024 VLDB 5.8845577e-05
6,324 EARLY: Efficient and Reliable Graph Neural Network for Dynamic Graphs 2023 SIGMOD 5.8137796e-05
6,687 Play like a Vertex: A Stackelberg Game Approach for Streaming Graph Partitioning 2024 SIGMOD 5.7079296e-05
6,826 SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement 2024 SIGMOD 5.6700316e-05
7,906 Near-Duplicate Text Alignment with One Permutation Hashing 2024 SIGMOD 5.428873e-05
9,873 TimeCSL: Unsupervised Contrastive Learning of General Shapelets for Explorable Time Series Analysis 2024 VLDB 5.1176637e-05
9,877 CoLES: Contrastive Learning for Event Sequences with Self-Supervision 2022 SIGMOD 5.1176637e-05
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