scholar.google.com › citations
Feb 28, 2022 · Due to the incompleteness of knowledge graph, knowledge graph embedding(KGE) has become a key technique for automatically predict missing ...
In this paper, we propose a new KGE model called ReflectE, which regards each relation as a normal vector of a relation-specific reflection hyperplane.
Jun 8, 2020 · Abstract:Performing link prediction using knowledge graph embedding models has become a popular approach for knowledge graph completion.
This paper proposes TransD to improve TransR/CTransR. It uses two vectors to represent each entity and relation. The first one represents the meaning of ...
Missing: reflection transformation.
People also ask
How do you populate a knowledge graph?
What is knowledge graph embedding by flexible translation?
What is the knowledge graph from RDF?
What is knowledge embedding?
In this work, we propose a more powerful KGE framework named HousE, which involves a novel parameterization based on two kinds of House- holder transformations: ...
Feb 5, 2021 · Projective transformations include simultaneous transformations covering: translation, rotation, homothety, reflection and inversion and is the ...
Apr 1, 2023 · Inspired by CompoundE and Rotate3D, we leverage 3D compound geometric transformations, including translation, rotation, scaling, reflection, and ...
May 18, 2021 · 5* Knowledge Graph Embeddings with ... transformations -- specifically inversion, reflection, translation, rotation, and homothety.
In this work, we use 3D affine transformations, including Translation, Scaling,. Rotation, Reflection, and Shear as illustrated in Figure 1, to model different.
Our method 5击E inherits the five main pillars of projective transformation, namely translation, rotation, homothety, in- version and reflection. The ...
Visualize your data in a graph. Ready to use in less then 5 minutes with Gaphlytic Cloud.
Why do most GenAI pilots fail? How can you succeed? Register for our webinar to find out. Mark your calendar for a webinar about succeeding with GenAI using a knowledge graph.