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Yung-Yu Chen

2 accepted papers

2021

Temporal Knowledge Graph Completion using a Linear Temporal Regularizer and Multivector Embeddings

NAACL 2021long

Representation learning approaches for knowledge graphs have been mostly designed for static data. However, many knowledge graphs involve evolving data, e.g., the fact (The President of the United States is Barack Obama) is valid only from 2009 to 2017. This introduces important challenges for knowl…

2020

Knowledge Graph Embeddings in Geometric Algebras

COLING 2020main

Knowledge graph (KG) embedding aims at embedding entities and relations in a KG into a low dimensional latent representation space. Existing KG embedding approaches model entities and relations in a KG by utilizing real-valued , complex-valued, or hypercomplex-valued (Quaternion or Octonion) represe…