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SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement

Summary: SIMPLE targets the CPU-GPU data-loading bottleneck in large-scale temporal GNN training. Key idea: dynamic data placement with a small GPU buffer plus pipeline optimizations, cutting loading cost up to 96.8% and speeding training 1.8x–3.8x over TGL. (summarized by gpt-5.4-mini on May 24 2026)

Paper ID
6938
Venue
SIGMOD
Year
2024
Pagerank
4.8570865e-05
Overall Rank
7,014 | 51.26%
DOI
10.1145/3654977

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 9 of 9 citing papers.

Rank Citing Paper Year Venue Pagerank
6,944 Efficient Training of Graph Neural Networks on Large Graphs 2024 VLDB 4.8875946e-05
9,677 Apt-Serve: Adaptive Request Scheduling on Hybrid Cache for Scalable LLM Inference Serving 2025 SIGMOD 4.3006524e-05
9,786 MEMO: Fine-grained Tensor Management For Ultra-long Context LLM Training 2025 SIGMOD 4.2799988e-05
10,035 SWIFT: Enabling Large-Scale Temporal Graph Learning on a Single Machine 2026 SIGMOD 4.1905499e-05
10,233 Efficient GNN Training on Giant Graphs with Collective Batching and Scheduling 2026 VLDB 4.1905499e-05
10,334 Understanding Evolving Graph Structures for Large Discrete-Time Dynamic Graph Representation 2026 VLDB 4.1905499e-05
10,664 Effective and Efficient Distributed Temporal Graph Learning through Hotspot Memory Sharing 2025 VLDB 4.1905499e-05
10,681 When Speed meets Accuracy: an Efficient and Effective Graph Model for Temporal Link Prediction 2025 VLDB 4.1905499e-05
10,742 Faster Convergence in Mini-batch Graph Neural Networks Training with Pseudo Full Neighborhood Compensation 2025 VLDB 4.1905499e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 13 of 13 cited papers.

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

Rank Cited Paper Year Venue Pagerank
271 AliGraph: A Comprehensive Graph Neural Network Platform 2019 VLDB 0.00029565193
306 The LRU-K Page Replacement Algorithm For Database Disk Buffering 1993 SIGMOD 0.00028255083
635 APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding 2021 SIGMOD 0.00018825777
1,102 Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture 2021 VLDB 0.00014011556
1,162 Sancus: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks 2022 VLDB 0.00013573136
1,388 TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs 2022 VLDB 0.00012249747
2,399 ByteGNN: Efficient Graph Neural Network Training at Large Scale 2022 VLDB 8.8869693e-05
2,425 DUCATI: A Dual-Cache Training System for Graph Neural Networks on Giant Graphs with the GPU 2023 SIGMOD 8.8414587e-05
3,466 AI Meets Database: AI4DB and DB4AI 2021 SIGMOD 7.0645718e-05
3,715 Zebra: When Temporal Graph Neural Networks Meet Temporal Personalized PageRank 2023 VLDB 6.8176818e-05
4,054 Orca: Scalable Temporal Graph Neural Network Training with Theoretical Guarantees 2023 SIGMOD 6.4910804e-05
5,485 ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs 2024 VLDB 5.4817019e-05
7,286 DAHA: Accelerating GNN Training with Data and Hardware Aware Execution Planning 2024 VLDB 4.7701372e-05
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