DBScholar

Back to papers

TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs

Summary: TGL unifies configurable temporal GNN training with scalable sampling, memory, and message-passing components. Temporal-CSR, parallel sampling, and random-chunk scheduling enable billion-edge, multi-GPU training—up to 13× faster than prior implementations. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12850
Venue
VLDB
Year
2022
Pagerank
0.00010854808
Overall Rank
1,409 | 90.34%
DOI
10.14778/3529337.3529342

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{zhou_vldb22,
        title = {{TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs}},
        author = {Zhou, Hongkuan and Zheng, Da and Nisa, Israt and Ioannidis, Vasileios and Song, Xiang and Karypis, George},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {8},
        pages = {1572--1580},
        doi = {10.14778/3529337.3529342},
        url = {https://doi.org/10.14778/3529337.3529342},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 20 of 20 citing papers.

Rank Citing Paper Year Venue Pagerank
3,210 Zebra: When Temporal Graph Neural Networks Meet Temporal Personalized PageRank 2023 VLDB 7.6352864e-05
4,878 NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams 2024 VLDB 6.4684388e-05
4,891 DGC: Training Dynamic Graphs with Spatio-Temporal Non-Uniformity using Graph Partitioning by Chunks 2023 SIGMOD 6.4581865e-05
4,980 Decoupled Graph Neural Networks for Large Dynamic Graphs 2023 VLDB 6.4133375e-05
5,205 ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs 2024 VLDB 6.318626e-05
5,572 SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning 2023 VLDB 6.1686403e-05
6,261 EARLY: Efficient and Reliable Graph Neural Network for Dynamic Graphs 2023 SIGMOD 5.9366952e-05
6,695 GENTI: GPU-powered Walk-based Subgraph Extraction for Scalable Representation Learning on Dynamic Graphs 2024 VLDB 5.7990641e-05
6,730 SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement 2024 SIGMOD 5.7895038e-05
8,454 D3-GNN: Dynamic Distributed Dataflow for Streaming Graph Neural Networks 2024 VLDB 5.4226e-05
9,349 Temporal SIR-GN: Efficient and Effective Structural Representation Learning for Temporal Graphs 2023 VLDB 5.284204e-05
9,729 Scalable Graph Convolutional Network Training on Distributed-Memory Systems 2023 VLDB 5.2289669e-05
9,881 The Image Calculator: 10x Faster Image-AI Inference by Replacing JPEG with Self-designing Storage Format 2024 SIGMOD 5.2040783e-05
10,330 SWIFT: Enabling Large-Scale Temporal Graph Learning on a Single Machine 2026 SIGMOD 5.093636e-05
10,620 Understanding Evolving Graph Structures for Large Discrete-Time Dynamic Graph Representation 2026 VLDB 5.093636e-05
10,780 SWASH: A Flexible Communication Framework with Sliding Window-Based Cache Sharing for Scalable DGNN Training 2025 SIGMOD 5.093636e-05
10,887 PipeTGL: (Near) Zero Bubble Memory-based Temporal Graph Neural Network Training via Pipeline Optimization 2025 VLDB 5.093636e-05
10,907 Effective and Efficient Distributed Temporal Graph Learning through Hotspot Memory Sharing 2025 VLDB 5.093636e-05
10,922 When Speed meets Accuracy: an Efficient and Effective Graph Model for Temporal Link Prediction 2025 VLDB 5.093636e-05
11,110 Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours 2025 VLDB 5.093636e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
920 APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding 2021 SIGMOD 0.00013209734
Previous Page 1 / 1 Next

Semantically Similar Papers

# Overall Rank Paper Year Venue
1 5,597 Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage Accesses 2024 VLDB
2 10,907 Effective and Efficient Distributed Temporal Graph Learning through Hotspot Memory Sharing 2025 VLDB
3 2,640 Scalable and Efficient Full-Graph GNN Training for Large Graphs 2023 SIGMOD
4 1,048 AGL: A Scalable System for Industrial-purpose Graph Machine Learning 2020 VLDB
5 10,521 Efficient GNN Training on Giant Graphs with Collective Batching and Scheduling 2026 VLDB
6 10,330 SWIFT: Enabling Large-Scale Temporal Graph Learning on a Single Machine 2026 SIGMOD
7 10,887 PipeTGL: (Near) Zero Bubble Memory-based Temporal Graph Neural Network Training via Pipeline Optimization 2025 VLDB
8 5,205 ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs 2024 VLDB
9 6,730 SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement 2024 SIGMOD
10 11,110 Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours 2025 VLDB