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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
5.1116429e-05
Overall Rank
9,900 | 33.44%
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
8,670 Fight Fire with Fire: Towards Robust Graph Neural Networks on Dynamic Graphs via Actively Defense 2024 VLDB 5.2917782e-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 0.0012092602
211 AliGraph: A Comprehensive Graph Neural Network Platform 2019 VLDB 0.00024816965
394 One Trillion Edges: Graph Processing at Facebook-Scale 2015 VLDB 0.00019191286
444 Trinity: A Distributed Graph Engine on a Memory Cloud 2013 SIGMOD 0.00018177351
496 From "Think Like a Vertex" to "Think Like a Graph" 2014 VLDB 0.00017323054
959 Blogel: A Block-Centric Framework for Distributed Computation on Real-World Graphs 2014 VLDB 0.00012854625
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
1,310 An Experimental Comparison of Pregel-like Graph Processing Systems 2014 VLDB 0.00011068618
1,364 TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs 2022 VLDB 0.00010914152
1,772 ByteGNN: Efficient Graph Neural Network Training at Large Scale 2022 VLDB 9.6792287e-05
1,840 Towards Effective Partition Management for Large Graphs 2012 SIGMOD 9.5291859e-05
1,862 Large-Scale Distributed Graph Computing Systems: An Experimental Evaluation 2015 VLDB 9.485436e-05
2,247 Cumulon: Optimizing Statistical Data Analysis in the Cloud 2013 SIGMOD 8.7585767e-05
2,439 Accelerating Large Scale Real-Time GNN Inference using Channel Pruning 2021 VLDB 8.4652234e-05
2,519 HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework 2022 VLDB 8.3521095e-05
2,774 GraphScope: A Unified Engine For Big Graph Processing 2021 VLDB 8.0327008e-05
3,569 A Partition-Based Approach to Structure Similarity Search 2014 VLDB 7.1987748e-05
3,752 G3: When Graph Neural Networks Meet Parallel Graph Processing Systems on GPUs 2020 VLDB 7.0517024e-05
4,095 Distributed Deep Learning on Data Systems: A Comparative Analysis of Approaches 2021 VLDB 6.8095767e-05
4,285 TurboGraph++: A Scalable and Fast Graph Analytics System 2018 SIGMOD 6.688615e-05
4,455 Application Driven Graph Partitioning 2020 SIGMOD 6.5921511e-05
4,915 Horton+: A Distributed System for Processing Declarative Reachability Queries over Partitioned Graphs 2013 VLDB 6.356048e-05
5,432 Parallel Training of Knowledge Graph Embedding Models: A Comparison of Techniques 2022 VLDB 6.1324806e-05
7,476 A Study of Partitioning Policies for Graph Analytics on Large-scale Distributed Platforms 2019 VLDB 5.5161224e-05
9,144 Cerebro: A Layered Data Platform for Scalable Deep Learning 2021 CIDR 5.2201471e-05
9,395 MemFlow: Memory-Aware Distributed Deep Learning 2020 SIGMOD 5.1857503e-05
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