DBScholar

Back to papers

ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs

Summary: ETC: a framework for scalable T-GNN training with a novel batching scheme that enables large batches while controlling per-batch information loss. Uses a three-step data-access policy plus inter-batch pipelining to cut redundant I/O, yielding 1.6–62.4× speedups. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
h12e2e354f92b3660
Venue
VLDB
Year
2024
Pagerank
6.4033344e-05
Overall Rank
4,785 | 67.93%
DOI
10.14778/3641204.3641215
PDF
Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{gao_vldb24,
        title = {{ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs}},
        author = {Gao, Shihong and Li, Yiming and Shen, Yanyan and Shao, Yingxia and Chen, Lei},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {5},
        pages = {1060--1072},
        doi = {10.14778/3641204.3641215},
        url = {https://doi.org/10.14778/3641204.3641215},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 13 of 13 citing papers.

Rank Citing Paper Year Venue Pagerank
4,910 Apt-Serve: Adaptive Request Scheduling on Hybrid Cache for Scalable LLM Inference Serving 2025 SIGMOD 6.3468554e-05
6,686 Efficient Training of Graph Neural Networks on Large Graphs 2024 VLDB 5.6931383e-05
6,849 SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement 2024 SIGMOD 5.6488938e-05
8,698 Fight Fire with Fire: Towards Robust Graph Neural Networks on Dynamic Graphs via Actively Defense 2024 VLDB 5.2717835e-05
9,266 PipeTGL: (Near) Zero Bubble Memory-based Temporal Graph Neural Network Training via Pipeline Optimization 2025 VLDB 5.1860131e-05
9,267 Effective and Efficient Distributed Temporal Graph Learning through Hotspot Memory Sharing 2025 VLDB 5.1860131e-05
10,611 SWIFT: Enabling Large-Scale Temporal Graph Learning on a Single Machine 2026 SIGMOD 4.9605343e-05
10,777 Efficient GNN Training on Giant Graphs with Collective Batching and Scheduling 2026 VLDB 4.9605343e-05
10,850 PRISM: A Training System to Unlock the Potential of Temporal Graph Learning Through Staleness Avoidance 2026 VLDB 4.9605343e-05
11,136 Understanding Evolving Graph Structures for Large Discrete-Time Dynamic Graph Representation 2026 VLDB 4.9605343e-05
11,376 When Speed meets Accuracy: an Efficient and Effective Graph Model for Temporal Link Prediction 2025 VLDB 4.9605343e-05
11,421 Faster Convergence in Mini-batch Graph Neural Networks Training with Pseudo Full Neighborhood Compensation 2025 VLDB 4.9605343e-05
11,517 Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours 2025 VLDB 4.9605343e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 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
1,223 Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture 2021 VLDB 0.00011439503
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
2,513 DUCATI: A Dual-Cache Training System for Graph Neural Networks on Giant Graphs with the GPU 2023 SIGMOD 8.3467757e-05
3,027 Zebra: When Temporal Graph Neural Networks Meet Temporal Personalized PageRank 2023 VLDB 7.7178623e-05
3,411 Orca: Scalable Temporal Graph Neural Network Training with Theoretical Guarantees 2023 SIGMOD 7.3074792e-05
4,974 HET-GMP: A Graph-based System Approach to Scaling Large Embedding Model Training 2022 SIGMOD 6.3196773e-05
Previous Page 1 / 1 Next

Semantically Similar Papers

# Overall Rank Paper Year Venue
1 11,516 Efficient Graph Embedding Generation and Update for Large-Scale Temporal Graph 2025 VLDB
2 2,325 Scalable and Efficient Full-Graph GNN Training for Large Graphs 2023 SIGMOD
3 1,780 ByteGNN: Efficient Graph Neural Network Training at Large Scale 2022 VLDB
4 10,777 Efficient GNN Training on Giant Graphs with Collective Batching and Scheduling 2026 VLDB
5 5,074 Decoupled Graph Neural Networks for Large Dynamic Graphs 2023 VLDB
6 10,611 SWIFT: Enabling Large-Scale Temporal Graph Learning on a Single Machine 2026 SIGMOD
7 11,517 Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours 2025 VLDB
8 6,686 Efficient Training of Graph Neural Networks on Large Graphs 2024 VLDB
9 1,372 TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs 2022 VLDB
10 6,849 SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement 2024 SIGMOD