Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective

Summary: Comprehensive empirical study of GNN training systems from a data-management perspective, quantifying how graph partitioning, mini-batch preparation, and CPU–GPU data movement dominate training cost. Extensive benchmarks expose trade-offs across approaches and provide practical system-design guidelines. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: h3f7e56b511d0db69
Venue: VLDB
Year: 2024
Pagerank: 6.365824e-05
Overall Rank: 4,898 | 67.07%
DOI: 10.14778/3648160.3648167

Incoming Non-self Citations Over Time

Authors

1. Hao Yuan (Northeastern University)
2. Yajiong Liu (Northeastern University)
3. Yanfeng Zhang (Northeastern University)
4. Xin Ai (Northeastern University)
5. Qiange Wang (National University of Singapore)
6. Chaoyi Chen (Northeastern University)
7. Yu Gu (Northeastern University)
8. Ge Yu (Northeastern University)

BibTeX Citation

@article{yuan_vldb24,
        title = {{Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective}},
        author = {Yuan, Hao and Liu, Yajiong and Zhang, Yanfeng and Ai, Xin and Wang, Qiange and Chen, Chaoyi and Gu, Yu and Yu, Ge},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {6},
        pages = {1241--1254},
        doi = {10.14778/3648160.3648167},
        url = {https://doi.org/10.14778/3648160.3648167},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 9 of 9 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
8,152	NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism	2025	VLDB	5.3896512e-05
9,233	Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental Study	2025	VLDB	5.2056825e-05
10,257	Graph Neural Network Training Systems: A Performance Comparison of Full-Graph and Mini-Batch	2025	VLDB	5.050482e-05
10,520	A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness	2026	SIGMOD	4.9793485e-05
10,558	DepCache: A KV Cache Management Framework for GraphRAG with Dependency Attention	2026	SIGMOD	4.9793485e-05
10,706	Efficient GNN Training on Giant Graphs with Collective Batching and Scheduling	2026	VLDB	4.9793485e-05
10,818	ThunderGNN: Unlocking Tensor Cores for Graph Neural Networks	2026	VLDB	4.9793485e-05
11,289	Heta: Distributed Training of Heterogeneous Graph Neural Networks	2025	VLDB	4.9793485e-05
11,361	Faster Convergence in Mini-batch Graph Neural Networks Training with Pseudo Full Neighborhood Compensation	2025	VLDB	4.9793485e-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
211	AliGraph: A Comprehensive Graph Neural Network Platform	2019	VLDB	0.00024816965
1,033	AGL: A Scalable System for Industrial-purpose Graph Machine Learning	2020	VLDB	0.00012397734
1,134	SANCUS: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks	2022	VLDB	0.00011893521
1,224	Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture	2021	VLDB	0.000114497
1,772	ByteGNN: Efficient Graph Neural Network Training at Large Scale	2022	VLDB	9.6792287e-05
2,279	NeutronStar: Distributed GNN Training with Hybrid Dependency Management	2022	SIGMOD	8.7062637e-05
2,506	DUCATI: A Dual-Cache Training System for Graph Neural Networks on Giant Graphs with the GPU	2023	SIGMOD	8.3774747e-05
2,596	Scalable and Efficient Full-Graph GNN Training for Large Graphs	2023	SIGMOD	8.2419456e-05
4,502	NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams	2024	VLDB	6.5740722e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	4,825	DAHA: Accelerating GNN Training with Data and Hardware Aware Execution Planning	2024	VLDB
2	9,900	Scalable Graph Convolutional Network Training on Distributed-Memory Systems	2023	VLDB
3	10,706	Efficient GNN Training on Giant Graphs with Collective Batching and Scheduling	2026	VLDB
4	3,752	G3: When Graph Neural Networks Meet Parallel Graph Processing Systems on GPUs	2020	VLDB
5	4,826	Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage Accesses	2024	VLDB
6	9,233	Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental Study	2025	VLDB
7	1,772	ByteGNN: Efficient Graph Neural Network Training at Large Scale	2022	VLDB
8	2,596	Scalable and Efficient Full-Graph GNN Training for Large Graphs	2023	SIGMOD
9	10,257	Graph Neural Network Training Systems: A Performance Comparison of Full-Graph and Mini-Batch	2025	VLDB
10	6,669	Efficient Training of Graph Neural Networks on Large Graphs	2024	VLDB