Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with Transformers

Author:

Chung Chanyoung1ORCID,Lee Jaejun1ORCID,Whang Joyce Jiyoung1ORCID

Affiliation:

1. KAIST, Daejeon, Republic of Korea

Funder

National Research Foundation of Korea (NRF), Ministry of Science and ICT

Institute of Information & communications Technology Planning & Evaluation (IITP), Ministry of Science and ICT

Publisher

ACM

Reference55 articles.

1. Improving Inductive Link Prediction Using Hyper-relational Facts

2. Dimitrios Alivanistos , Max Berrendorf , Michael Cochez , and Mikhail Galkin . 2022 . Query Embedding on Hyper-Relational Knowledge Graphs . In Proceedings of the 10th International Conference on Learning Representations. Dimitrios Alivanistos, Max Berrendorf, Michael Cochez, and Mikhail Galkin. 2022. Query Embedding on Hyper-Relational Knowledge Graphs. In Proceedings of the 10th International Conference on Learning Representations.

3. DBpedia: A Nucleus for a Web of Open Data

4. Jimmy Lei Ba , Jamie Ryan Kiros, and Geoffrey Everest Hinton . 2016 . Layer Nor-malization . (2016). https://doi.org/10.48550/arXiv.1607.06450 arXiv:1607.06450 10.48550/arXiv.1607.06450 Jimmy Lei Ba, Jamie Ryan Kiros, and Geoffrey Everest Hinton. 2016. Layer Nor-malization. (2016). https://doi.org/10.48550/arXiv.1607.06450 arXiv:1607.06450

5. Node Attribute Completion in Knowledge Graphs with Multi-Relational Propagation

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