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Modeling Relation Paths for Representation Learning of Knowledge Bases

arXiv 1506.00379 ↗First posted 1 Jun 2015cs.CLcited by 56

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Abstract (arXiv)

Representation learning of knowledge bases (KBs) aims to embed both entities and relations into a low-dimensional space. Most existing methods only consider direct relations in representation learning. We argue that multiple-step relation paths also contain rich inference patterns between entities, and propose a path-based representation learning model. This model considers relation paths as translations between entities for representation learning, and addresses two key challenges: (1) Since not all relation paths are reliable, we design a path-constraint resource allocation algorithm to measure the reliability of relation paths. (2) We represent relation paths via semantic composition of relation embeddings. Experimental results on real-world datasets show that, as compared with baselines, our model achieves significant and consistent improvements on knowledge base completion and relation extraction from text.

Key facts. Cited by 56 papers in the map (data through 14 Oct 2026). First posted on arXiv 1 Jun 2015.

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Citing papers per year: 2021: 12; 2022: 16; 2023: 13; 2024: 6; 2025: 6; 2026: 3.

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  1. 2022Multi-Modal Knowledge Graph Construction and Application: A Surveycited by 74
  2. 2021TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecastingcited by 67
  3. 2025PathRAG: Pruning Graph-based Retrieval Augmented Generation with Relational Pathscited by 61
  4. 2023NormBank: A Knowledge Bank of Situational Social Normscited by 60
  5. 2022Knowledge Graph Embedding: A Survey from the Perspective of Representation Spacescited by 41
  6. 2021A Benchmark and Comprehensive Survey on Knowledge Graph Entity Alignment via Representation Learningcited by 31
  7. 2022DOM-LM: Learning Generalizable Representations for HTML Documentscited by 24
  8. 2021Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embeddingcited by 18
  9. 2022Knowledge Graph Reasoning with Logics and Embeddings: Survey and Perspectivecited by 18
  10. 2022Neural-Symbolic Entangled Framework for Complex Query Answeringcited by 18
  11. 2021Learning to Walk with Dual Agents for Knowledge Graph Reasoningcited by 16
  12. 2021Link Prediction on N-ary Relational Data Based on Relatedness Evaluationcited by 15
38 more
  1. 2022I Know What You Do Not Know: Knowledge Graph Embedding via Co-distillation Learningcited by 15
  2. 2021SQALER: Scaling Question Answering by Decoupling Multi-Hop and Logical Reasoningcited by 10
  3. 2022TrustGNN: Graph Neural Network based Trust Evaluation via Learnable Propagative and Composable Naturecited by 10
  4. 2023Knowledge Graph Embedding: An Overviewcited by 10
  5. 2023Learning Representations of Bi-level Knowledge Graphs for Reasoning beyond Link Predictioncited by 9
  6. 2022A Review of Knowledge Graph Completioncited by 8
  7. 2024Start from Zero: Triple Set Prediction for Automatic Knowledge Graph Completioncited by 7
  8. 2024Large Language Model Enhanced Knowledge Representation Learning: A Surveycited by 7
  9. 2021Knowledge-driven Site Selection via Urban Knowledge Graphcited by 6
  10. 2021Time in a Box: Advancing Knowledge Graph Completion with Temporal Scopescited by 6
  11. 2021Perform Like an Engine: A Closed-Loop Neural-Symbolic Learning Framework for Knowledge Graph Inferencecited by 6
  12. 2022Quant 4.0: Engineering Quantitative Investment with Automated, Explainable and Knowledge-driven Artificial Intelligencecited by 6
  13. 2023GTRL: An Entity Group-Aware Temporal Knowledge Graph Representation Learning Methodcited by 5
  14. 2023Unifying Structure Reasoning and Language Model Pre-training for Complex Reasoningcited by 4
  15. 2023Inductive Relation Prediction from Relational Paths and Context with Hierarchical Transformerscited by 4
  16. 2023Gold: A Global and Local-aware Denoising Framework for Commonsense Knowledge Graph Noise Detectioncited by 4
  17. 2023Knowledge Graph Error Detection with Contrastive Confidence Adaptioncited by 4
  18. 2021Knowledge Graph Embedding in E-commerce Applications: Attentive Reasoning, Explanations, and Transferable Rulescited by 3
  19. 2023Query Structure Modeling for Inductive Logical Reasoning Over Knowledge Graphscited by 3
  20. 2023Towards Semantically Enriched Embeddings for Knowledge Graph Completioncited by 3
  21. 2023River of No Return: Graph Percolation Embeddings for Efficient Knowledge Graph Reasoningcited by 2
  22. 2024Aligning Multiple Knowledge Graphs in a Single Passcited by 2
  23. 2021Discovering Supply Chain Links with Augmented Intelligencecited by 1
  24. 2022Entity Alignment For Knowledge Graphs: Progress, Challenges, and Empirical Studiescited by 1
  25. 2022Exploiting Global Semantic Similarities in Knowledge Graphs by Relational Prototype Entitiescited by 1
  26. 2022Knowledge Graph Refinement based on Triplet BERT-Networkscited by 1
  27. 2023Knowledge Reasoning via Jointly Modeling Knowledge Graphs and Soft Rulescited by 1
  28. 2024Knowledge Graph Completion using Structural and Textual Embeddingscited by 1
  29. 2024Relations Prediction for Knowledge Graph Completion using Large Language Modelscited by 1
  30. 2025Cross-platform Product Matching Based on Entity Alignment of Knowledge Graph with RAEA modelcited by 1
  31. 2021KARL-Trans-NER: Knowledge Aware Representation Learning for Named Entity Recognition using Transformerscited by 0
  32. 2022Learning Attention-based Representations from Multiple Patterns for Relation Prediction in Knowledge Graphscited by 0
  33. 2022ProjB: An Improved Bilinear Biased ProjE model for Knowledge Graph Completioncited by 0
  34. 2022Using Graph Algorithms to Pretrain Graph Completion Transformerscited by 0
  35. 2022Modelling Multi-relations for Convolutional-based Knowledge Graph Embeddingcited by 0
  36. 2023Research on Joint Representation Learning Methods for Entity Neighborhood Information and Description Informationcited by 0
  37. 2024Pre-training and Diagnosing Knowledge Base Completion Modelscited by 0
  38. 2025KG-TRICK: Unifying Textual and Relational Information Completion of Knowledge for Multilingual Knowledge Graphscited by 0

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