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: 6447
Venue: SIGMOD
Year: 2022
Pagerank: 7.6906935e-05
Overall Rank: 3,025 | 78.96%
DOI: 10.1145/3514221.3526134

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 22 of 22 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
3,087	Scalable and Efficient Full-Graph GNN Training for Large Graphs	2023	SIGMOD	7.5939896e-05
5,018	DGC: Training Dynamic Graphs with Spatio-Temporal Non-Uniformity using Graph Partitioning by Chunks	2023	SIGMOD	5.7567672e-05
5,136	NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments	2024	VLDB	5.6723526e-05
5,345	NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams	2024	VLDB	5.5567697e-05
5,561	Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage Accesses	2024	VLDB	5.4332062e-05
5,710	DynaHB: A Communication-Avoiding Asynchronous Distributed Framework with Hybrid Batches for Dynamic GNN Training	2024	VLDB	5.3590055e-05
5,737	Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective	2024	VLDB	5.3480667e-05
6,485	EARLY: Efficient and Reliable Graph Neural Network for Dynamic Graphs	2023	SIGMOD	5.0453531e-05
6,942	Efficient Training of Graph Neural Networks on Large Graphs	2024	VLDB	4.8922884e-05
7,091	HongTu: Scalable Full-Graph GNN Training on Multiple GPUs	2023	SIGMOD	4.8370645e-05
7,289	DAHA: Accelerating GNN Training with Data and Hardware Aware Execution Planning	2024	VLDB	4.7747168e-05
7,566	ADGNN: Towards Scalable GNN Training with Aggregation-Difference Aware Sampling	2023	SIGMOD	4.7089968e-05
7,607	Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods	2025	VLDB	4.6967024e-05
9,326	BladeDISC: Optimizing Dynamic Shape Machine Learning Workloads via Compiler Approach	2023	SIGMOD	4.3556432e-05
9,395	NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism	2025	VLDB	4.3441378e-05
10,027	NeutronHeter: Optimizing Distributed Graph Neural Network Training for Heterogeneous Clusters	2026	SIGMOD	4.1945683e-05
10,066	DepCache: A KV Cache Management Framework for GraphRAG with Dependency Attention	2026	SIGMOD	4.1945683e-05
10,298	NeutronCloud: Resource-Aware Distributed GNN Training in Fluctuating Cloud Environments	2026	VLDB	4.1945683e-05
10,506	SWASH: A Flexible Communication Framework with Sliding Window-Based Cache Sharing for Scalable DGNN Training	2025	SIGMOD	4.1945683e-05
10,514	cuMatch: A GPU-based Memory-Efficient Worst-case Optimal Join Processing Method for Subgraph Queries with Complex Patterns	2025	SIGMOD	4.1945683e-05
10,539	Graph Neural Network Training Systems: A Performance Comparison of Full-Graph and Mini-Batch.	2025	VLDB	4.1945683e-05
10,570	NeutronTask: Scalable and Efficient Multi-GPU GNN Training with Task Parallelism	2025	VLDB	4.1945683e-05

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
278	AliGraph: A Comprehensive Graph Neural Network Platform	2019	VLDB	0.00029230623
411	PyTorch Distributed: Experiences on Accelerating Data Parallel Training	2020	VLDB	0.00023906921
444	Parallelizing Sequential Graph Computations	2017	SIGMOD	0.00022987918
1,103	Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture	2021	VLDB	0.00014025101
1,329	AGL: A Scalable System for Industrial-purpose Graph Machine Learning	2020	VLDB	0.00012561848
3,670	A Distributed Multi-GPU System for Fast Graph Processing	2018	VLDB	6.8567044e-05
3,986	G3: When Graph Neural Networks Meet Parallel Graph Processing Systems on GPUs	2020	VLDB	6.5611714e-05
4,168	Accelerating Triangle Counting on GPU	2021	SIGMOD	6.391271e-05
6,216	Automating Incremental and Asynchronous Evaluation for Recursive Aggregate Data Processing	2020	SIGMOD	5.1534945e-05

Semantically Similar Papers

Overall Rank	Paper	Year	Venue	Pagerank
5,710	DynaHB: A Communication-Avoiding Asynchronous Distributed Framework with Hybrid Batches for Dynamic GNN Training	2024	VLDB	5.3590055e-05
2,400	ByteGNN: Efficient Graph Neural Network Training at Large Scale	2022	VLDB	8.8955105e-05
5,737	Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective	2024	VLDB	5.3480667e-05
3,087	Scalable and Efficient Full-Graph GNN Training for Large Graphs	2023	SIGMOD	7.5939896e-05
5,136	NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments	2024	VLDB	5.6723526e-05
5,345	NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams	2024	VLDB	5.5567697e-05
10,027	NeutronHeter: Optimizing Distributed Graph Neural Network Training for Heterogeneous Clusters	2026	SIGMOD	4.1945683e-05
10,570	NeutronTask: Scalable and Efficient Multi-GPU GNN Training with Task Parallelism	2025	VLDB	4.1945683e-05
10,298	NeutronCloud: Resource-Aware Distributed GNN Training in Fluctuating Cloud Environments	2026	VLDB	4.1945683e-05
9,395	NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism	2025	VLDB	4.3441378e-05