mlsanityData to 7 Oct 2026

A Semantic Matching Energy Function for Learning with Multi-relational Data

arXiv 1301.3485 ↗First posted 15 Jan 2013cs.LGcited by 61

Not on the map. Why?

Abstract (arXiv)

Large-scale relational learning becomes crucial for handling the huge amounts of structured data generated daily in many application domains ranging from computational biology or information retrieval, to natural language processing. In this paper, we present a new neural network architecture designed to embed multi-relational graphs into a flexible continuous vector space in which the original data is kept and enhanced. The network is trained to encode the semantics of these graphs in order to assign high probabilities to plausible components. We empirically show that it reaches competitive performance in link prediction on standard datasets from the literature.

Key facts. Cited by 61 papers in the map (data through 7 Oct 2026). First posted on arXiv 15 Jan 2013.

Builds on

No reference list yet.

Built on by

Cited by year

Citing papers per year: 2021: 19; 2022: 16; 2023: 13; 2024: 7; 2025: 6.

61 papers.

Sort:

By area:

  1. 2022Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communicationscited by 166
  2. 2023Large-scale Multi-Modal Pre-trained Models: A Comprehensive Surveycited by 153
  3. 2021Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Surveycited by 130
  4. 2022A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multimodalcited by 106
  5. 2023Knowledge Graphs: Opportunities and Challengescited by 70
  6. 2023MolFM: A Multimodal Molecular Foundation Modelcited by 50
  7. 2022Knowledge Graph Embedding: A Survey from the Perspective of Representation Spacescited by 41
  8. 2021Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Conceptscited by 37
  9. 2021Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completioncited by 32
  10. 2023How to Turn Your Knowledge Graph Embeddings into Generative Modelscited by 20
  11. 2023Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completioncited by 19
  12. 2021A Survey of Knowledge Graph Embedding and Their Applicationscited by 17
38 more
  1. 2021Hyperbolic Geometry is Not Necessary: Lightweight Euclidean-Based Models for Low-Dimensional Knowledge Graph Embeddingscited by 10
  2. 2021Learning Concept Lengths Accelerates Concept Learning in ALCcited by 10
  3. 2021KGBoost: A Classification-based Knowledge Base Completion Method with Negative Samplingcited by 10
  4. 2021Knowledge Sheaves: A Sheaf-Theoretic Framework for Knowledge Graph Embeddingcited by 9
  5. 2022GreenKGC: A Lightweight Knowledge Graph Completion Methodcited by 9
  6. 2022Swift and Sure: Hardness-aware Contrastive Learning for Low-dimensional Knowledge Graph Embeddingscited by 8
  7. 2022A Review of Knowledge Graph Completioncited by 8
  8. 2024SpherE: Expressive and Interpretable Knowledge Graph Embedding for Set Retrievalcited by 8
  9. 2022TranS: Transition-based Knowledge Graph Embedding with Synthetic Relation Representationcited by 7
  10. 2022Neuro-Symbolic Learning: Principles and Applications in Ophthalmologycited by 7
  11. 2021Boosted Embeddings for Time Series Forecastingcited by 6
  12. 2021Neural Class Expression Synthesiscited by 6
  13. 2022An Automatic Ontology Generation Framework with An Organizational Perspectivecited by 6
  14. 2022InterHT: Knowledge Graph Embeddings by Interaction between Head and Tail Entitiescited by 6
  15. 2024Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphscited by 6
  16. 2023Inference of Dependency Knowledge Graph for Electronic Health Recordscited by 5
  17. 2021Relational Reasoning Networkscited by 4
  18. 2021A Literature Review of Recent Graph Embedding Techniques for Biomedical Datacited by 3
  19. 2021A Survey of Knowledge Enhanced Pre-trained Modelscited by 3
  20. 2021GraphConfRec: A Graph Neural Network-Based Conference Recommender Systemcited by 2
  21. 2022Explainable Sparse Knowledge Graph Completion via High-order Graph Reasoning Networkcited by 2
  22. 2023River of No Return: Graph Percolation Embeddings for Efficient Knowledge Graph Reasoningcited by 2
  23. 2023Relation-Aware Network with Attention-Based Loss for Few-Shot Knowledge Graph Completioncited by 2
  24. 2024Knowledge Graph Embeddings: A Comprehensive Survey on Capturing Relation Propertiescited by 2
  25. 2021RelWalk A Latent Variable Model Approach to Knowledge Graph Embeddingcited by 1
  26. 2021Entity Context Graph: Learning Entity Representations fromSemi-Structured Textual Sources on the Webcited by 1
  27. 2022Learning Relation-Specific Representations for Few-shot Knowledge Graph Completioncited by 1
  28. 2022Spatio-Temporal Relation Learning for Video Anomaly Detectioncited by 1
  29. 2023Temporal Smoothness Regularisers for Neural Link Predictorscited by 1
  30. 2024Scalable Knowledge Refactoring using Constrained Optimisationcited by 1
  31. 2025Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methodscited by 1
  32. 2021A Knowledge Enhanced Learning and Semantic Composition Model for Multi-Claim Fact Checkingcited by 0
  33. 2021A Probit Tensor Factorization Model For Relational Learningcited by 0
  34. 2021Transformation of Node to Knowledge Graph Embeddings for Faster Link Prediction in Social Networkscited by 0
  35. 2022Supporting Vision-Language Model Inference with Confounder-pruning Knowledge Promptcited by 0
  36. 2022ProjB: An Improved Bilinear Biased ProjE model for Knowledge Graph Completioncited by 0
  37. 2022Entity-Assisted Language Models for Identifying Check-worthy Sentencescited by 0
  38. 2023Contextual Dictionary Lookup for Knowledge Graph Completioncited by 0

50 most cited of 61 All 61 (JSON)