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
- 12752
- Venue
- VLDB
- Year
- 2022
- Pagerank
- 7.2812392e-05
- Overall Rank
- 3,281 | 77.20%
- DOI
-
10.14778/3551793.3551819
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 10 of 10 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 5,356 |
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams |
2024 |
VLDB |
5.5514335e-05 |
| 5,570 |
Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage Accesses |
2024 |
VLDB |
5.4280174e-05 |
| 5,721 |
DynaHB: A Communication-Avoiding Asynchronous Distributed Framework with Hybrid Batches for Dynamic GNN Training |
2024 |
VLDB |
5.3538607e-05 |
| 6,979 |
OUTRE: An OUT-of-core De-REdundancy GNN Training Framework for Massive Graphs within A Single Machine |
2024 |
VLDB |
4.8697538e-05 |
| 7,104 |
DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training |
2025 |
SIGMOD |
4.8254019e-05 |
| 7,924 |
Distributed Graph Embedding with Information-Oriented Random Walks |
2023 |
VLDB |
4.6109814e-05 |
| 9,785 |
Capsule*: An Out-of-Core Training Mechanism for Colossal GNNs |
2025 |
SIGMOD |
4.2799988e-05 |
| 10,011 |
A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness |
2026 |
SIGMOD |
4.1905499e-05 |
| 11,036 |
TIGER: Training Inductive Graph Neural Network for Large-scale Knowledge Graph Reasoning |
2024 |
VLDB |
4.1905499e-05 |
| 11,082 |
Complex-Path: Effective and Efficient Node Ranking with Paths in Billion-Scale Heterogeneous Graphs |
2024 |
VLDB |
4.1905499e-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 |
Pagerank |
| 10,233 |
Efficient GNN Training on Giant Graphs with Collective Batching and Scheduling |
2026 |
VLDB |
4.1905499e-05 |
| 8,359 |
Eliminating Data Processing Bottlenecks in GNN Training over Large Graphs via Two-level Feature Compression |
2024 |
VLDB |
4.5321446e-05 |
| 5,746 |
Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective |
2024 |
VLDB |
5.3429324e-05 |
| 6,944 |
Efficient Training of Graph Neural Networks on Large Graphs |
2024 |
VLDB |
4.8875946e-05 |
| 2,399 |
ByteGNN: Efficient Graph Neural Network Training at Large Scale |
2022 |
VLDB |
8.8869693e-05 |
| 5,328 |
FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training |
2024 |
VLDB |
5.5656888e-05 |
| 3,092 |
Scalable and Efficient Full-Graph GNN Training for Large Graphs |
2023 |
SIGMOD |
7.5869574e-05 |
| 7,543 |
XGNN: Boosting Multi-GPU GNN Training via Global GNN Memory Store |
2024 |
VLDB |
4.7103673e-05 |
| 7,104 |
DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training |
2025 |
SIGMOD |
4.8254019e-05 |
| 5,570 |
Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage Accesses |
2024 |
VLDB |
5.4280174e-05 |