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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
13356
Venue
VLDB
Year
2024
Pagerank
5.4869706e-05
Overall Rank
5,475 | 61.92%
DOI
10.14778/3641204.3641215

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 12 of 12 citing papers.

Rank Citing Paper Year Venue Pagerank
6,942 Efficient Training of Graph Neural Networks on Large Graphs 2024 VLDB 4.8922884e-05
7,014 SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement 2024 SIGMOD 4.8616315e-05
8,510 Fight Fire with Fire: Towards Robust Graph Neural Networks on Dynamic Graphs via Actively Defense 2024 VLDB 4.4952414e-05
9,677 Apt-Serve: Adaptive Request Scheduling on Hybrid Cache for Scalable LLM Inference Serving 2025 SIGMOD 4.3047774e-05
10,035 SWIFT: Enabling Large-Scale Temporal Graph Learning on a Single Machine 2026 SIGMOD 4.1945683e-05
10,233 Efficient GNN Training on Giant Graphs with Collective Batching and Scheduling 2026 VLDB 4.1945683e-05
10,322 Understanding Evolving Graph Structures for Large Discrete-Time Dynamic Graph Representation 2026 VLDB 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
10,887 Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours 2025 VLDB 4.1945683e-05
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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
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
1,103 Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture 2021 VLDB 0.00014025101
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
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
3,709 Zebra: When Temporal Graph Neural Networks Meet Temporal Personalized PageRank 2023 VLDB 6.8242482e-05
4,047 Orca: Scalable Temporal Graph Neural Network Training with Theoretical Guarantees 2023 SIGMOD 6.4972105e-05
5,052 HET-GMP: A Graph-based System Approach to Scaling Large Embedding Model Training 2022 SIGMOD 5.7337977e-05
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10,885 Efficient Graph Embedding Generation and Update for Large-Scale Temporal Graph 2025 VLDB 4.1945683e-05
3,087 Scalable and Efficient Full-Graph GNN Training for Large Graphs 2023 SIGMOD 7.5939896e-05
2,400 ByteGNN: Efficient Graph Neural Network Training at Large Scale 2022 VLDB 8.8955105e-05
10,233 Efficient GNN Training on Giant Graphs with Collective Batching and Scheduling 2026 VLDB 4.1945683e-05
5,443 Decoupled Graph Neural Networks for Large Dynamic Graphs 2023 VLDB 5.5025808e-05
10,035 SWIFT: Enabling Large-Scale Temporal Graph Learning on a Single Machine 2026 SIGMOD 4.1945683e-05
10,887 Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours 2025 VLDB 4.1945683e-05
6,942 Efficient Training of Graph Neural Networks on Large Graphs 2024 VLDB 4.8922884e-05
1,387 TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs 2022 VLDB 0.00012261568
7,014 SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement 2024 SIGMOD 4.8616315e-05