Parallel Training of Knowledge Graph Embedding Models: A Comparison of Techniques
Summary: Experimental study comparing parallel training methods for KG embeddings, re-implemented in a common framework for fair assessment. Reveals non-comparable evaluations; proposes stratification tweaks; shows random partitioning with sampling can suffice. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Adrian Kochsiek (University of Mannheim)
- 2. Rainer Gemulla (University of Mannheim)
BibTeX Citation
@article{kochsiek_vldb22,
title = {{Parallel Training of Knowledge Graph Embedding Models: A Comparison of Techniques}},
author = {Kochsiek, Adrian and Gemulla, Rainer},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {3},
pages = {633--645},
doi = {10.14778/3494124.3494144},
url = {https://doi.org/10.14778/3494124.3494144},
year = {2022}
}Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,022 | NuPS: A Parameter Server for Machine Learning with Non-Uniform Parameter Access | 2022 | SIGMOD | 6.0046123e-05 |
| 9,520 | Experimental Analysis of Large-scale Learnable Vector Storage Compression | 2024 | VLDB | 5.2561283e-05 |
| 9,556 | CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models | 2024 | SIGMOD | 5.2528121e-05 |
| 9,729 | Scalable Graph Convolutional Network Training on Distributed-Memory Systems | 2023 | VLDB | 5.2289669e-05 |
| 11,187 | GE2: A General and Efficient Knowledge Graph Embedding Learning System | 2024 | SIGMOD | 5.093636e-05 |
| 11,243 | TIGER: Training Inductive Graph Neural Network for Large-scale Knowledge Graph Reasoning | 2024 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,781 | Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study | 2020 | SIGMOD | 8.1281896e-05 |
| 6,519 | Dynamic Parameter Allocation in Parameter Servers | 2020 | VLDB | 5.8536062e-05 |
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