Translating representations of knowledge graphs with neighbors
Journal
41st International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018
Pages
917-920
Date Issued
2018
Author(s)
Wang, C.-C.
Abstract
Knowledge graph completion is a critical issue because many applications benefit from their structural and rich resources. In this paper, we propose a method named TransN, which consid- ers the dependencies between triples and incorporates neighbor information dynamically. In experiments, we evaluate our model by link prediction and also conduct several qualitative analyses to prove effectiveness. Experimental results show that our model could integrate neighbor information effectively and outperform state-of-the-art models.
Type
conference paper