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
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Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,992 | NuPS: A Parameter Server for Machine Learning with Non-Uniform Parameter Access | 2022 | SIGMOD | 5.2380905e-05 |
| 9,408 | CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models | 2024 | SIGMOD | 4.3399748e-05 |
| 9,414 | Experimental Analysis of Large-scale Learnable Vector Storage Compression | 2024 | VLDB | 4.3399748e-05 |
| 9,596 | Scalable Graph Convolutional Network Training on Distributed-Memory Systems | 2023 | VLDB | 4.3150788e-05 |
| 10,977 | GE2: A General and Efficient Knowledge Graph Embedding Learning System | 2024 | SIGMOD | 4.1905499e-05 |
| 11,036 | TIGER: Training Inductive Graph Neural Network for Large-scale Knowledge Graph Reasoning | 2024 | VLDB | 4.1905499e-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 |
|---|---|---|---|---|
| 1,969 | Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study | 2020 | SIGMOD | 9.9079644e-05 |
| 6,482 | Dynamic Parameter Allocation in Parameter Servers | 2020 | VLDB | 5.0396586e-05 |
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