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TuckER: Tensor Factorization for Knowledge Graph Completion

arXiv 1901.09590 ↗First posted 28 Jan 2019cs.LG stat.MLcited by 290

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Abstract (arXiv)

Knowledge graphs are structured representations of real world facts. However, they typically contain only a small subset of all possible facts. Link prediction is a task of inferring missing facts based on existing ones. We propose TuckER, a relatively straightforward but powerful linear model based on Tucker decomposition of the binary tensor representation of knowledge graph triples. TuckER outperforms previous state-of-the-art models across standard link prediction datasets, acting as a strong baseline for more elaborate models. We show that TuckER is a fully expressive model, derive sufficient bounds on its embedding dimensionalities and demonstrate that several previously introduced linear models can be viewed as special cases of TuckER.

Key facts. Cited by 290 papers in the map (data through 7 Oct 2026). First posted on arXiv 28 Jan 2019.

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Citing papers per year: 2021: 51; 2022: 71; 2023: 64; 2024: 50; 2025: 32; 2026: 22.

290 papers.

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  1. 2021Fully Hyperbolic Neural Networkscited by 107
  2. 2022A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multimodalcited by 106
  3. 2022SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Modelscited by 90
  4. 2023Knowledge Graphs: Opportunities and Challengescited by 70
  5. 2021Temporal Knowledge Graph Forecasting with Neural ODEcited by 61
  6. 2022From Discrimination to Generation: Knowledge Graph Completion with Generative Transformercited by 45
  7. 2022Knowledge Graph Embedding: A Survey from the Perspective of Representation Spacescited by 41
  8. 2023Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearningcited by 39
  9. 2021Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Conescited by 38
  10. 2021Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representationscited by 37
  11. 2024Generative Artificial Intelligence: A Systematic Review and Applicationscited by 37
  12. 2024KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph Completioncited by 36
38 more
  1. 2021Temporal Knowledge Graph Completion using Box Embeddingscited by 34
  2. 2024A Survey on Temporal Knowledge Graph: Representation Learning and Applicationscited by 30
  3. 2021Role-Aware Modeling for N-ary Relational Knowledge Basescited by 29
  4. 2021Link Prediction on N-ary Relational Facts: A Graph-based Approachcited by 29
  5. 2022Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree Optimizationcited by 28
  6. 2023IMF: Interactive Multimodal Fusion Model for Link Predictioncited by 28
  7. 2021Inductive Relation Prediction by BERTcited by 27
  8. 2022Looking Beyond IoCs: Automatically Extracting Attack Patterns from External CTIcited by 27
  9. 2023Knowledge-infused Contrastive Learning for Urban Imagery-based Socioeconomic Predictioncited by 23
  10. 2024NativE: Multi-modal Knowledge Graph Completion in the Wildcited by 23
  11. 2021Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoningcited by 22
  12. 2021Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matricescited by 22
  13. 2022Rethinking Graph Convolutional Networks in Knowledge Graph Completioncited by 20
  14. 2023How to Turn Your Knowledge Graph Embeddings into Generative Modelscited by 20
  15. 2023UUKG: Unified Urban Knowledge Graph Dataset for Urban Spatiotemporal Predictioncited by 20
  16. 2022Geometry Interaction Knowledge Graph Embeddingscited by 18
  17. 2021How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence Viewcited by 17
  18. 2023Toward Degree Bias in Embedding-Based Knowledge Graph Completioncited by 17
  19. 2023Towards Generative Modeling of Urban Flow through Knowledge-enhanced Denoising Diffusioncited by 17
  20. 2024KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledgecited by 16
  21. 2021Convolutional Hypercomplex Embeddings for Link Predictioncited by 15
  22. 2021SAFRAN: An interpretable, rule-based link prediction method outperforming embedding modelscited by 15
  23. 2022Multi-task Pre-training Language Model for Semantic Network Completioncited by 15
  24. 2022Description Logic EL++ Embeddings with Intersectional Closurecited by 15
  25. 2022Multimodal Learning on Graphs for Disease Relation Extractioncited by 15
  26. 2022I Know What You Do Not Know: Knowledge Graph Embedding via Co-distillation Learningcited by 15
  27. 2023Link Prediction with Attention Applied on Multiple Knowledge Graph Embedding Modelscited by 15
  28. 2021EventNarrative: A large-scale Event-centric Dataset for Knowledge Graph-to-Text Generationcited by 14
  29. 2022A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge Graphscited by 14
  30. 2022Language Models as Knowledge Embeddingscited by 14
  31. 2023A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospectscited by 14
  32. 2024Tokenization, Fusion, and Augmentation: Towards Fine-grained Multi-modal Entity Representationcited by 14
  33. 2024Actionable Cyber Threat Intelligence using Knowledge Graphs and Large Language Modelscited by 14
  34. 2021Searching to Sparsify Tensor Decomposition for N-ary Relational Datacited by 13
  35. 2022Construction and Applications of Billion-Scale Pre-Trained Multimodal Business Knowledge Graphcited by 13
  36. 2023Adapting Neural Link Predictors for Data-Efficient Complex Query Answeringcited by 13
  37. 2023Knowledge Graph Completion with Counterfactual Augmentationcited by 13
  38. 2023zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Modelscited by 13

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