NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism
Summary: NeutronTP replaces graph/data parallelism with feature-sliced tensor parallelism, eliminating cross-worker vertex dependencies and balancing GNN training loads. Decoupled aggregation/NN computation and memory-aware, overlap-oriented scheduling enable large-graph training, yielding 1.29–8.72× speedups. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xin Ai (Northeastern University)
- 2. Hao Yuan (Northeastern University)
- 3. Zeyu Ling (Northeastern University)
- 4. Qiange Wang (National University of Singapore)
- 5. Yanfeng Zhang (Northeastern University)
- 6. Zhenbo Fu (Northeastern University)
- 7. Chaoyi Chen (Northeastern University)
- 8. Yu Gu (Northeastern University)
- 9. Ge Yu (Northeastern University)
BibTeX Citation
@article{ai_vldb25,
title = {{NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism}},
author = {Ai, Xin and Yuan, Hao and Ling, Zeyu and Wang, Qiange and Zhang, Yanfeng and Fu, Zhenbo and Chen, Chaoyi and Gu, Yu and Yu, Ge},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {2},
pages = {173--186},
doi = {10.14778/3705829.3705837},
url = {https://doi.org/10.14778/3705829.3705837},
year = {2025}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,357 | DepCache: A KV Cache Management Framework for GraphRAG with Dependency Attention | 2026 | SIGMOD | 5.093636e-05 |
| 10,521 | Efficient GNN Training on Giant Graphs with Collective Batching and Scheduling | 2026 | VLDB | 5.093636e-05 |
| 10,835 | NeutronTask: Scalable and Efficient Multi-GPU GNN Training with Task Parallelism | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 223 | AliGraph: A Comprehensive Graph Neural Network Platform | 2019 | VLDB | 0.00024182473 |
| 1,048 | AGL: A Scalable System for Industrial-purpose Graph Machine Learning | 2020 | VLDB | 0.00012433693 |
| 1,132 | SANCUS: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks | 2022 | VLDB | 0.00012041292 |
| 1,863 | ByteGNN: Efficient Graph Neural Network Training at Large Scale | 2022 | VLDB | 9.5950349e-05 |
| 2,640 | Scalable and Efficient Full-Graph GNN Training for Large Graphs | 2023 | SIGMOD | 8.3074486e-05 |
| 2,695 | NeutronStar: Distributed GNN Training with Hybrid Dependency Management | 2022 | SIGMOD | 8.2468134e-05 |
| 4,980 | Decoupled Graph Neural Networks for Large Dynamic Graphs | 2023 | VLDB | 6.4133375e-05 |
| 5,316 | Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective | 2024 | VLDB | 6.2687017e-05 |
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