Back to papers
Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching
Summary: Ginex enables billion-scale GNN training on a single machine with SSDs. Inspector-executor pipeline splits sample/gather, enabling Belady-like optimal in-memory caching for feature vectors.
(summarized by gpt-5-nano on Feb 09 2026)
Paper ID
hb8840e6a8f1ad08f
Venue
VLDB
Year
2022
Pagerank
7.9301802e-05
Overall Rank
2,863 | 80.76%
DOI
10.14778/3551793.3551819
PDF
Download
(CC BY-NC-ND 4.0)
Incoming Non-self Citations Over Time
BibTeX Citation
Copy BibTeX
@article{park_vldb22,
title = {{Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching}},
author = {Park, Yeonhong and Min, Sunhong and Lee, Jae W.},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {11},
pages = {2626--2639},
doi = {10.14778/3551793.3551819},
url = {https://doi.org/10.14778/3551793.3551819},
year = {2022}
}
Incoming Citations (Sorted by Pagerank)
Showing 11 of 11 citing papers.
Rank
Citing Paper
Year
Venue
Pagerank
4,502
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams
2024
VLDB
6.5740722e-05
4,826
Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage Accesses
2024
VLDB
6.391978e-05
5,310
DynaHB: A Communication-Avoiding Asynchronous Distributed Framework with Hybrid Batches for Dynamic GNN Training
2024
VLDB
6.1857447e-05
6,528
DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training
2025
SIGMOD
5.7553643e-05
6,852
OUTRE: An OUT-of-core De-REdundancy GNN Training Framework for Massive Graphs within A Single Machine
2024
VLDB
5.6647613e-05
8,064
Distributed Graph Embedding with Information-Oriented Random Walks
2023
VLDB
5.3954618e-05
10,041
Capsule*: An Out-of-Core Training Mechanism for Colossal GNNs
2025
SIGMOD
5.0921006e-05
10,520
A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness
2026
SIGMOD
4.9793485e-05
10,826
FeLoG: Scalable and Efficient Distributed Graph Embedding with Feedback Loop Mechanism
2026
VLDB
4.9793485e-05
11,576
TIGER: Training Inductive Graph Neural Network for Large-scale Knowledge Graph Reasoning
2024
VLDB
4.9793485e-05
11,609
Complex-Path: Effective and Efficient Node Ranking with Paths in Billion-Scale Heterogeneous Graphs
2024
VLDB
4.9793485e-05
Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Semantically Similar Papers
#
Overall Rank
Paper
Year
Venue
1
10,706
Efficient GNN Training on Giant Graphs with Collective Batching and Scheduling
2026
VLDB
2
6,780
Eliminating Data Processing Bottlenecks in GNN Training over Large Graphs via Two-level Feature Compression
2024
VLDB
3
4,898
Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective
2024
VLDB
4
6,669
Efficient Training of Graph Neural Networks on Large Graphs
2024
VLDB
5
1,772
ByteGNN: Efficient Graph Neural Network Training at Large Scale
2022
VLDB
6
5,339
FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training
2024
VLDB
7
2,596
Scalable and Efficient Full-Graph GNN Training for Large Graphs
2023
SIGMOD
8
6,793
XGNN: Boosting Multi-GPU GNN Training via Global GNN Memory Store
2024
VLDB
9
6,528
DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training
2025
SIGMOD
10
4,826
Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage Accesses
2024
VLDB