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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
- 6937
- Venue
- SIGMOD
- Year
- 2024
- Pagerank
- 4.8616315e-05
- Overall Rank
- 7,014 | 51.21%
- DOI
-
10.1145/3654977
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
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 |
| 278 |
AliGraph: A Comprehensive Graph Neural Network Platform |
2019 |
VLDB |
0.00029230623 |
| 306 |
The LRU-K Page Replacement Algorithm For Database Disk Buffering |
1993 |
SIGMOD |
0.00028228982 |
| 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 |
| 3,473 |
AI Meets Database: AI4DB and DB4AI |
2021 |
SIGMOD |
7.062864e-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 |
| 5,475 |
ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs |
2024 |
VLDB |
5.4869706e-05 |
| 7,289 |
DAHA: Accelerating GNN Training with Data and Hardware Aware Execution Planning |
2024 |
VLDB |
4.7747168e-05 |
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VLDB |
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