Dec 19, 2019 · We study the impact of training strategies on the performance of knowledge graph embeddings.
Knowledge graph embedding (KGE) models learn algebraic representations of the entities and relations in a knowledge graph. A vast number of KGE techniques ...
Apr 30, 2020 · It is found that when trained appropriately, the relative performance differences between various model architectures often shrinks and sometimes even reverses.
In this work, we conduct an extensive experimental study on the effect of hyperparameter optimization on various Knowledge Graph Embedding (KGE) models.
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Mar 4, 2020 · Knowledge graph embedding (KGE) models learn algebraic representations of the entities and relations in a knowledge graph. A vast number of KGE ...
You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings · 2 code implementations • ICLR 2020 • Daniel Ruffinelli, Samuel Broscheit, Rainer ...
Apr 28, 2019 · Hi both, I just came across a new ICLR submission (You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings) that does more ...
Can We Predict New Facts with Open Knowledge Graph Embeddings? A ... You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings.
Broscheit, and R. Gemulla: You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings. ICLR 2020; W. Hamilton: Graph Representation Learning ...
(2020). You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings. International Conference on Learning Representations. [zhang2017].