Papers › TransERR: Translation-based Knowledge Graph Embedding via Efficient Relation Rotation

TransERR: Translation-based Knowledge Graph Embedding via Efficient Relation Rotation

26 Jun 2023arXiv:2306.14580archive 2025-07-28

Jiang Li, Xiangdong Su, Fujun Zhang, Guanglai Gao

This paper presents a translation-based knowledge geraph embedding method via efficient relation rotation (TransERR), a straightforward yet effective alternative to traditional translation-based knowledge graph embedding models. Different from the previous translation-based models, TransERR encodes knowledge graphs in the hypercomplex-valued space, thus enabling it to possess a higher degree of translation freedom in mining latent information between the head and tail entities. To further minimize the translation distance, TransERR adaptively rotates the head entity and the tail entity with their corresponding unit quaternions, which are learnable in model training. We also provide mathematical proofs to demonstrate the ability of TransERR in modeling various relation patterns, including symmetry, antisymmetry, inversion, composition, and subrelation patterns. The experiments on 10 benchmark datasets validate the effectiveness and the generalization of TransERR. The results also indicate that TransERR can better encode large-scale datasets with fewer parameters than the previous translation-based models. Our code and datasets are available at~\url{https://github.com/dellixx/TransERR}.

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dellixx/transerr officialmentioned in papermentioned on GitHubpytorch report
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Graph EmbeddingKnowledge Graph CompletionKnowledge Graph EmbeddingKnowledge GraphsMathematical ProofsTranslation

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Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Link Property Prediction ogbl-wikikg2 TransERR Ext. data No #16 of 30 Archive leaderboard report
Link Property Prediction ogbl-wikikg2 TransERR Number of params 500441802 #16 of 30 Archive leaderboard report
Link Property Prediction ogbl-wikikg2 TransERR Test MRR 0.6359 ± 0.0020 #16 of 30 Archive leaderboard report
Link Property Prediction ogbl-wikikg2 TransERR Validation MRR 0.6518 ± 0.0012 #16 of 30 Archive leaderboard report

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