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

Summary: TGL is a general offline framework for training Temporal Graph Neural Networks on billion-scale graphs, configurable by files, with a temporal sampler, memory, and a message-passing engine. Key ideas: Temporal-CSR and random chunk scheduling enable large-scale multi-GPU/CPU training, yielding 13x single-GPU speedups and 173x CPU speedups on >1B temporal edges. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 12662
Venue: VLDB
Year: 2022
Pagerank: 0.00012261568
Overall Rank: 1,387 | 90.36%
DOI: 10.14778/3529337.3529342

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 20 of 20 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
3,709	Zebra: When Temporal Graph Neural Networks Meet Temporal Personalized PageRank	2023	VLDB	6.8242482e-05
5,018	DGC: Training Dynamic Graphs with Spatio-Temporal Non-Uniformity using Graph Partitioning by Chunks	2023	SIGMOD	5.7567672e-05
5,345	NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams	2024	VLDB	5.5567697e-05
5,443	Decoupled Graph Neural Networks for Large Dynamic Graphs	2023	VLDB	5.5025808e-05
5,475	ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs	2024	VLDB	5.4869706e-05
6,039	SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning	2023	VLDB	5.2413564e-05
6,485	EARLY: Efficient and Reliable Graph Neural Network for Dynamic Graphs	2023	SIGMOD	5.0453531e-05
7,014	SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement	2024	SIGMOD	4.8616315e-05
7,749	GENTI: GPU-powered Walk-based Subgraph Extraction for Scalable Representation Learning on Dynamic Graphs	2024	VLDB	4.6610143e-05
8,463	D3-GNN: Dynamic Distributed Dataflow for Streaming Graph Neural Networks	2024	VLDB	4.5052127e-05
9,272	Temporal SIR-GN: Efficient and Effective Structural Representation Learning for Temporal Graphs	2023	VLDB	4.3652496e-05
9,596	Scalable Graph Convolutional Network Training on Distributed-Memory Systems	2023	VLDB	4.319218e-05
9,806	The Image Calculator: 10x Faster Image-AI Inference by Replacing JPEG with Self-designing Storage Format	2024	SIGMOD	4.2805224e-05
10,035	SWIFT: Enabling Large-Scale Temporal Graph Learning on a Single Machine	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
10,887	Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours	2025	VLDB	4.1945683e-05

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
636	APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding	2021	SIGMOD	0.00018846494

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10,634	PipeTGL: (Near) Zero Bubble Memory-based Temporal Graph Neural Network Training via Pipeline Optimization	2025	VLDB	4.1945683e-05
5,475	ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs	2024	VLDB	5.4869706e-05
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