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: 13371
Venue: VLDB
Year: 2024
Pagerank: 5.3480667e-05
Overall Rank: 5,737 | 60.09%
DOI: 10.14778/3648160.3648167

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 8 of 8 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
9,395	NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism	2025	VLDB	4.3441378e-05
10,011	A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness	2026	SIGMOD	4.1945683e-05
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
10,539	Graph Neural Network Training Systems: A Performance Comparison of Full-Graph and Mini-Batch.	2025	VLDB	4.1945683e-05
10,638	Heta: Distributed Training of Heterogeneous Graph Neural Networks	2025	VLDB	4.1945683e-05
10,647	Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental Study	2025	VLDB	4.1945683e-05
10,735	Faster Convergence in Mini-batch Graph Neural Networks Training with Pseudo Full Neighborhood Compensation	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
1,103	Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture	2021	VLDB	0.00014025101
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
2,422	DUCATI: A Dual-Cache Training System for Graph Neural Networks on Giant Graphs with the GPU	2023	SIGMOD	8.8499665e-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
5,345	NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams	2024	VLDB	5.5567697e-05

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