NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism
Summary: NeutronTP uses tensor parallelism for GNNs—partitioning node features (not graph) to remove cross-worker vertex dependencies and achieve load balance. A decoupled NN/aggregation framework plus memory-efficient, comm/comp-overlapping scheduling enables multi-GPU training and 1.29–8.72× speedups. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xin Ai
- 2. Hao Yuan
- 3. Zeyu Ling
- 4. Qiange Wang
- 5. Yanfeng Zhang
- 6. Zhenbo Fu
- 7. Chaoyi Chen
- 8. Yu Gu
- 9. Ge Yu
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,066 | DepCache: A KV Cache Management Framework for GraphRAG with Dependency Attention | 2026 | SIGMOD | 4.1945683e-05 |
| 10,233 | Efficient GNN Training on Giant Graphs with Collective Batching and Scheduling | 2026 | VLDB | 4.1945683e-05 |
| 10,570 | NeutronTask: Scalable and Efficient Multi-GPU GNN Training with Task Parallelism | 2025 | VLDB | 4.1945683e-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 |
|---|---|---|---|---|
| 278 | AliGraph: A Comprehensive Graph Neural Network Platform | 2019 | VLDB | 0.00029230623 |
| 1,160 | Sancus: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks | 2022 | VLDB | 0.00013586221 |
| 1,329 | AGL: A Scalable System for Industrial-purpose Graph Machine Learning | 2020 | VLDB | 0.00012561848 |
| 2,400 | ByteGNN: Efficient Graph Neural Network Training at Large Scale | 2022 | VLDB | 8.8955105e-05 |
| 3,025 | NeutronStar: Distributed GNN Training with Hybrid Dependency Management | 2022 | SIGMOD | 7.6906935e-05 |
| 3,087 | Scalable and Efficient Full-Graph GNN Training for Large Graphs | 2023 | SIGMOD | 7.5939896e-05 |
| 5,443 | Decoupled Graph Neural Networks for Large Dynamic Graphs | 2023 | VLDB | 5.5025808e-05 |
| 5,737 | Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective | 2024 | VLDB | 5.3480667e-05 |
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