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TIGER: Training Inductive Graph Neural Network for Large-scale Knowledge Graph Reasoning
Summary: TIGER speeds inductive GNN training for large-scale KG reasoning via streaming subgraph slicing and dynamic caching. Optimal slicing proved NP-hard; SiGMa (two-stage decoupling) achieves high slice reuse and ~3.7× subgraph-extraction speedup on Freebase (86M).
(summarized by gpt-5-mini on Feb 09 2026)
- Paper ID
- 13473
- Venue
- VLDB
- Year
- 2024
- Pagerank
- 4.1905499e-05
- Overall Rank
- 11,036 | 23.30%
- DOI
-
10.14778/3675034.3675039
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No non-self incoming citations found for this paper in this database.
Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 62 |
Freebase: A Collaboratively Created Graph Database For Structuring Human Knowledge |
2008 |
SIGMOD |
0.00064239035 |
| 271 |
AliGraph: A Comprehensive Graph Neural Network Platform |
2019 |
VLDB |
0.00029565193 |
| 1,102 |
Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture |
2021 |
VLDB |
0.00014011556 |
| 3,281 |
Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching |
2022 |
VLDB |
7.2812392e-05 |
| 3,545 |
Rosetta: A Robust Space-Time Optimized Range Filter for Key-Value Stores |
2020 |
SIGMOD |
6.9831585e-05 |
| 4,354 |
LargeEA: Aligning Entities for Large-scale Knowledge Graphs |
2022 |
VLDB |
6.2534656e-05 |
| 5,383 |
Parallel Training of Knowledge Graph Embedding Models: A Comparison of Techniques |
2022 |
VLDB |
5.5357645e-05 |
| 5,431 |
SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization |
2022 |
VLDB |
5.5104776e-05 |
| 6,978 |
Extraction of Validating Shapes from very large Knowledge Graphs |
2023 |
VLDB |
4.870433e-05 |
| 7,623 |
Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads |
2023 |
SIGMOD |
4.6890662e-05 |
| 7,924 |
Distributed Graph Embedding with Information-Oriented Random Walks |
2023 |
VLDB |
4.6109814e-05 |
| 8,747 |
Generations of Knowledge Graphs: The Crazy Ideas and the Business Impact |
2023 |
VLDB |
4.4520434e-05 |
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