mlsanityData to 14 Oct 2026

CompoundE: Knowledge Graph Embedding with Translation, Rotation and Scaling Compound Operations

arXiv 2207.05324 ↗First posted 12 Jul 2022cs.AI cs.CL cs.LGcited by 10

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Abstract (arXiv)

Translation, rotation, and scaling are three commonly used geometric manipulation operations in image processing. Besides, some of them are successfully used in developing effective knowledge graph embedding (KGE) models such as TransE and RotatE. Inspired by the synergy, we propose a new KGE model by leveraging all three operations in this work. Since translation, rotation, and scaling operations are cascaded to form a compound one, the new model is named CompoundE. By casting CompoundE in the framework of group theory, we show that quite a few scoring-function-based KGE models are special cases of CompoundE. CompoundE extends the simple distance-based relation to relation-dependent compound operations on head and/or tail entities. To demonstrate the effectiveness of CompoundE, we conduct experiments on three popular KG completion datasets. Experimental results show that CompoundE consistently achieves the state of-the-art performance.

Key facts. Cited by 10 papers in the map (data through 14 Oct 2026). Builds on 21 of its 50 references that are in the map. First posted on arXiv 12 Jul 2022.

Builds on

21 of 50 references.

References · 21

  1. 2020Open Graph Benchmark: Datasets for Machine Learning on Graphscited by 2,163
  2. 2017Modeling Relational Data with Graph Convolutional Networkscited by 1,694
  3. 2016ConceptNet 5.5: An Open Multilingual Graph of General Knowledgecited by 1,067
  4. 2014Embedding Entities and Relations for Learning and Inference in Knowledge Basescited by 932
  5. 2016Complex Embeddings for Simple Link Predictioncited by 902
  6. 2019RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Spacecited by 898
  7. 2017Convolutional 2D Knowledge Graph Embeddingscited by 730
  8. 2019Composition-based Multi-Relational Graph Convolutional Networkscited by 396
  9. 2019TuckER: Tensor Factorization for Knowledge Graph Completioncited by 290
  10. 2018SimplE Embedding for Link Prediction in Knowledge Graphscited by 195
  11. 2020Low-Dimensional Hyperbolic Knowledge Graph Embeddingscited by 195
  12. 2016Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignmentcited by 128
9 more
  1. 2019Multi-relational Poincar'e Graph Embeddingscited by 126
  2. 2017Analogical Inference for Multi-Relational Embeddingscited by 69
  3. 2020PairRE: Knowledge Graph Embeddings via Paired Relation Vectorscited by 67
  4. 2019AutoSF: Searching Scoring Functions for Knowledge Graph Embeddingcited by 34
  5. 2021LargeEA: Aligning Entities for Large-scale Knowledge Graphscited by 26
  6. 2022Geometry Interaction Knowledge Graph Embeddingscited by 18
  7. 2020LineaRE: Simple but Powerful Knowledge Graph Embedding for Link Predictioncited by 11
  8. 2021KGBoost: A Classification-based Knowledge Base Completion Method with Negative Samplingcited by 10
  9. 2021CORE: A Knowledge Graph Entity Type Prediction Method via Complex Space Regression and Embeddingcited by 10

Built on by

Cited by year

Citing papers per year: 2022: 3; 2023: 4; 2024: 2; 2025: 1.

10 papers.

  1. 2022Knowledge Graph Embedding: A Survey from the Perspective of Representation Spacescited by 41
  2. 2022Green Learning: Introduction, Examples and Outlookcited by 30
  3. 2023An Overview on Language Models: Recent Developments and Outlookcited by 22
  4. 2022Analyzing and Evaluating Faithfulness in Dialogue Summarizationcited by 12
  5. 2023Knowledge Graph Embedding: An Overviewcited by 10
  6. 2023Knowledge Graph Embedding with 3D Compound Geometric Transformationscited by 3
  7. 2024Simple but Effective Compound Geometric Operations for Temporal Knowledge Graph Completioncited by 3
  8. 2023AsyncET: Asynchronous Learning for Knowledge Graph Entity Typing with Auxiliary Relationscited by 2
  9. 2024Knowledge Graph Embeddings: A Comprehensive Survey on Capturing Relation Propertiescited by 2
  10. 2025SKGE: Spherical Knowledge Graph Embedding with Geometric Regularizationcited by 0