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Scalable Graph Convolutional Network Training on Distributed-Memory Systems

Summary: Distributed-memory GCN training with vertex-wise partitioning and non-blocking point-to-point communication, scaling to many processors, deeper models, and billion-node graphs. Uses hypergraph partitioning and a stochastic mini-batch hypergraph model to accurately encode and minimize communication, outperforming standard graph partitioning. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
hece9d57691a298cb
Venue
VLDB
Year
2023
Pagerank
5.0923288e-05
Overall Rank
9,942 | 33.36%
DOI
10.14778/3574245.3574256
PDF
Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{demirci_vldb23,
        title = {{Scalable Graph Convolutional Network Training on Distributed-Memory Systems}},
        author = {Demirci, Gunduz Vehbi and Haldar, Aparajita and Ferhatosmanoglu, Hakan},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {4},
        pages = {711--724},
        doi = {10.14778/3574245.3574256},
        url = {https://doi.org/10.14778/3574245.3574256},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
8,698 Fight Fire with Fire: Towards Robust Graph Neural Networks on Dynamic Graphs via Actively Defense 2024 VLDB 5.2717835e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 28 of 28 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
3 Pregel: A System for Large-Scale Graph Processing 2010 SIGMOD 0.0012089097
203 AliGraph: A Comprehensive Graph Neural Network Platform 2019 VLDB 0.00025234479
392 One Trillion Edges: Graph Processing at Facebook-Scale 2015 VLDB 0.0001917435
446 Trinity: A Distributed Graph Engine on a Memory Cloud 2013 SIGMOD 0.00018135272
486 From "Think Like a Vertex" to "Think Like a Graph" 2014 VLDB 0.00017462718
931 Blogel: A Block-Centric Framework for Distributed Computation on Real-World Graphs 2014 VLDB 0.00012993132
1,021 AGL: A Scalable System for Industrial-purpose Graph Machine Learning 2020 VLDB 0.00012408574
1,047 SANCUS: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks 2022 VLDB 0.00012313386
1,223 Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture 2021 VLDB 0.00011439503
1,316 An Experimental Comparison of Pregel-like Graph Processing Systems 2014 VLDB 0.00011044363
1,372 TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs 2022 VLDB 0.00010873001
1,780 ByteGNN: Efficient Graph Neural Network Training at Large Scale 2022 VLDB 9.6601841e-05
1,847 Towards Effective Partition Management for Large Graphs 2012 SIGMOD 9.5053324e-05
1,857 Large-Scale Distributed Graph Computing Systems: An Experimental Evaluation 2015 VLDB 9.4785847e-05
2,250 Cumulon: Optimizing Statistical Data Analysis in the Cloud 2013 SIGMOD 8.7477605e-05
2,434 Accelerating Large Scale Real-Time GNN Inference using Channel Pruning 2021 VLDB 8.4608438e-05
2,525 HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework 2022 VLDB 8.3302991e-05
2,594 GraphScope: A Unified Engine For Big Graph Processing 2021 VLDB 8.2278437e-05
3,582 A Partition-Based Approach to Structure Similarity Search 2014 VLDB 7.1715746e-05
3,706 G3: When Graph Neural Networks Meet Parallel Graph Processing Systems on GPUs 2020 VLDB 7.0605656e-05
4,117 Distributed Deep Learning on Data Systems: A Comparative Analysis of Approaches 2021 VLDB 6.784003e-05
4,300 TurboGraph++: A Scalable and Fast Graph Analytics System 2018 SIGMOD 6.6633635e-05
4,445 Application Driven Graph Partitioning 2020 SIGMOD 6.5804872e-05
4,911 Parallel Training of Knowledge Graph Embedding Models: A Comparison of Techniques 2022 VLDB 6.3460622e-05
4,938 Horton+: A Distributed System for Processing Declarative Reachability Queries over Partitioned Graphs 2013 VLDB 6.3327465e-05
7,447 A Study of Partitioning Policies for Graph Analytics on Large-scale Distributed Platforms 2019 VLDB 5.5111792e-05
9,175 Cerebro: A Layered Data Platform for Scalable Deep Learning 2021 CIDR 5.2004231e-05
9,429 MemFlow: Memory-Aware Distributed Deep Learning 2020 SIGMOD 5.1661567e-05
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