TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Methods/TransE

TransE

GraphsIntroduced 200073 papers
Source Paper

Description

TransE is an energy-based model that produces knowledge base embeddings. It models relationships by interpreting them as translations operating on the low-dimensional embeddings of the entities. Relationships are represented as translations in the embedding space: if (h,l,t)\left(h, \mathcal{l}, t\right)(h,l,t) holds, the embedding of the tail entity ttt should be close to the embedding of the head entity hhh plus some vector that depends on the relationship l\mathcal{l}l.

Papers Using This Method

Is Architectural Complexity Overrated? Competitive and Interpretable Knowledge Graph Completion with RelatE2025-05-25MuCo-KGC: Multi-Context-Aware Knowledge Graph Completion2025-03-05MuCoS: Efficient Drug-Target Prediction through Multi-Context-Aware Sampling2025-02-25SparseTransX: Efficient Training of Translation-Based Knowledge Graph Embeddings Using Sparse Matrix Operations2025-02-24A Contextualized BERT model for Knowledge Graph Completion2024-12-15Unified Interpretation of Smoothing Methods for Negative Sampling Loss Functions in Knowledge Graph Embedding2024-07-05Vehicle Lane Change Prediction based on Knowledge Graph Embeddings and Bayesian Inference2023-12-11Does Pre-trained Language Model Actually Infer Unseen Links in Knowledge Graph Completion?2023-11-15Model-based Subsampling for Knowledge Graph Completion2023-09-17DBLPLink: An Entity Linker for the DBLP Scholarly Knowledge Graph2023-09-14AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment enabled by Large Language Models2023-07-18Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning2023-05-22From Wide to Deep: Dimension Lifting Network for Parameter-efficient Knowledge Graph Embedding2023-03-22Diversity matters: Robustness of bias measurements in Wikidata2023-02-27Enhancing Patent Retrieval using Text and Knowledge Graph Embeddings: A Technical Note2022-11-03Embedding Knowledge Graph of Patent Metadata to Measure Knowledge Proximity2022-11-03TransAlign: Fully Automatic and Effective Entity Alignment for Knowledge Graphs2022-10-16Walk-and-Relate: A Random-Walk-based Algorithm for Representation Learning on Sparse Knowledge Graphs2022-09-19TripleRE: Knowledge Graph Embeddings via Tripled Relation Vectors2022-09-17CompoundE: Knowledge Graph Embedding with Translation, Rotation and Scaling Compound Operations2022-07-12