Apr 21, 2021 · To overcome these problems, in this paper, we represent each n-ary relational fact as a set of its role and role-value pairs. We then propose a ...
May 13, 2019 · We further propose a method to conduct Link Prediction on N-ary relational data, thus called NaLP, which explicitly models the relatedness of ...
Link Prediction on N-ary Relational Facts: A Graph-based Approach. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 396–407, ...
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May 18, 2021 · This paper considers link prediction upon n-ary relational facts and proposes a graph-based approach to this task. The key to our approach is to ...
A method called NaLP is proposed to conduct link prediction on n-ary relational data, which explicitly models the relatedness of all the role and role-value ...
Directly confronting complicated interactions in high-ary data naturally poses greater challenge. Association within and among tuples should also be considered.
We propose a link prediction method NaLP on n-ary relational data. It is designed based on two considerations. On the one hand, a role and the corresponding ...
Aug 1, 2021 · Link prediction on knowledge graphs (KGs) is a key research topic. Previous work mainly fo- cused on binary relations, paying less attention.
May 17, 2019 · We propose a link prediction method NaLP on n-ary rela- tional data, which captures the relatedness of the role-value pairs in the same n-ary ...
We then propose a method called NaLP to conduct link prediction on n-ary relational data, which explicitly models the relatedness of all the role and role-value ...