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NeutronStar: Distributed GNN Training with Hybrid Dependency Management

Summary: Hybrid dependency management for distributed GNN training; adaptively blends cached and communicated dependencies at runtime. NeutronStar automates GNN training with CPU-GPU optimizations, delivering 1.81×–14.25× speedup vs DistDGL/ROC on 16-node Aliyun. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6448
Venue
SIGMOD
Year
2022
Pagerank
7.6833093e-05
Overall Rank
3,028 | 78.96%
DOI
10.1145/3514221.3526134

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 22 of 22 citing papers.

Rank Citing Paper Year Venue Pagerank
3,092 Scalable and Efficient Full-Graph GNN Training for Large Graphs 2023 SIGMOD 7.5869574e-05
5,016 DGC: Training Dynamic Graphs with Spatio-Temporal Non-Uniformity using Graph Partitioning by Chunks 2023 SIGMOD 5.7512359e-05
5,135 NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments 2024 VLDB 5.6669017e-05
5,356 NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams 2024 VLDB 5.5514335e-05
5,570 Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage Accesses 2024 VLDB 5.4280174e-05
5,721 DynaHB: A Communication-Avoiding Asynchronous Distributed Framework with Hybrid Batches for Dynamic GNN Training 2024 VLDB 5.3538607e-05
5,746 Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective 2024 VLDB 5.3429324e-05
6,479 EARLY: Efficient and Reliable Graph Neural Network for Dynamic Graphs 2023 SIGMOD 5.0405101e-05
6,944 Efficient Training of Graph Neural Networks on Large Graphs 2024 VLDB 4.8875946e-05
7,087 HongTu: Scalable Full-Graph GNN Training on Multiple GPUs 2023 SIGMOD 4.8324242e-05
7,286 DAHA: Accelerating GNN Training with Data and Hardware Aware Execution Planning 2024 VLDB 4.7701372e-05
7,568 ADGNN: Towards Scalable GNN Training with Aggregation-Difference Aware Sampling 2023 SIGMOD 4.7044808e-05
7,609 Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods 2025 VLDB 4.6921981e-05
9,331 BladeDISC: Optimizing Dynamic Shape Machine Learning Workloads via Compiler Approach 2023 SIGMOD 4.351469e-05
9,400 NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism 2025 VLDB 4.3399748e-05
10,027 NeutronHeter: Optimizing Distributed Graph Neural Network Training for Heterogeneous Clusters 2026 SIGMOD 4.1905499e-05
10,066 DepCache: A KV Cache Management Framework for GraphRAG with Dependency Attention 2026 SIGMOD 4.1905499e-05
10,310 NeutronCloud: Resource-Aware Distributed GNN Training in Fluctuating Cloud Environments 2026 VLDB 4.1905499e-05
10,515 SWASH: A Flexible Communication Framework with Sliding Window-Based Cache Sharing for Scalable DGNN Training 2025 SIGMOD 4.1905499e-05
10,523 cuMatch: A GPU-based Memory-Efficient Worst-case Optimal Join Processing Method for Subgraph Queries with Complex Patterns 2025 SIGMOD 4.1905499e-05
10,548 Graph Neural Network Training Systems: A Performance Comparison of Full-Graph and Mini-Batch. 2025 VLDB 4.1905499e-05
10,579 NeutronTask: Scalable and Efficient Multi-GPU GNN Training with Task Parallelism 2025 VLDB 4.1905499e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 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
411 PyTorch Distributed: Experiences on Accelerating Data Parallel Training 2020 VLDB 0.00023881138
441 Parallelizing Sequential Graph Computations 2017 SIGMOD 0.00023172424
1,102 Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture 2021 VLDB 0.00014011556
1,332 AGL: A Scalable System for Industrial-purpose Graph Machine Learning 2020 VLDB 0.00012549751
3,674 A Distributed Multi-GPU System for Fast Graph Processing 2018 VLDB 6.8502146e-05
3,988 G3: When Graph Neural Networks Meet Parallel Graph Processing Systems on GPUs 2020 VLDB 6.5548465e-05
4,146 Accelerating Triangle Counting on GPU 2021 SIGMOD 6.4065776e-05
6,209 Automating Incremental and Asynchronous Evaluation for Recursive Aggregate Data Processing 2020 SIGMOD 5.1508692e-05
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Semantically Similar Papers

Overall Rank Paper Year Venue Pagerank
5,721 DynaHB: A Communication-Avoiding Asynchronous Distributed Framework with Hybrid Batches for Dynamic GNN Training 2024 VLDB 5.3538607e-05
2,399 ByteGNN: Efficient Graph Neural Network Training at Large Scale 2022 VLDB 8.8869693e-05
5,746 Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective 2024 VLDB 5.3429324e-05
3,092 Scalable and Efficient Full-Graph GNN Training for Large Graphs 2023 SIGMOD 7.5869574e-05
5,135 NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments 2024 VLDB 5.6669017e-05
5,356 NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams 2024 VLDB 5.5514335e-05
10,027 NeutronHeter: Optimizing Distributed Graph Neural Network Training for Heterogeneous Clusters 2026 SIGMOD 4.1905499e-05
10,579 NeutronTask: Scalable and Efficient Multi-GPU GNN Training with Task Parallelism 2025 VLDB 4.1905499e-05
10,310 NeutronCloud: Resource-Aware Distributed GNN Training in Fluctuating Cloud Environments 2026 VLDB 4.1905499e-05
9,400 NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism 2025 VLDB 4.3399748e-05