Knowledge Graph Embedding with 3D Compound Geometric ...

Knowledge Graph Embedding with 3D Compound Geometric ... - arXiv

We leverage 3D compound geometric transformations, including translation, rotation, scaling, reflection, and shear and propose a family of KGE models, named ...

We leverage 3D compound geometric transformations, including translation, rotation, scaling, reflection, and shear and propose a family of KGE models.

Knowledge Graph Embedding with 3D Compound Geometric ...

Knowledge Graph Embedding with 3D Compound. Geometric Transformations. Xiou Ge, Yun-Cheng Wang, Student Member, IEEE, Bin Wang, Member, IEEE,. C.-C. Jay Kuo ...

Knowledge Graph Embedding with 3D Compound Geometric ...

The cascade of 2D geometric transformations were exploited to model relations between entities in a knowledge graph (KG), lead- ing to an effective KG embedding ...

[PDF] Knowledge Graph Embedding with 3D Compound Geometric ...

Inspired by CompoundE and Rotate3D, this work leverage 3D compound geometric transformations, including translation, rotation, scaling, reflection, ...

(PDF) Knowledge Graph Embedding with 3D Compound Geometric ...

PDF | The cascade of 2D geometric transformations were exploited to model relations between entities in a knowledge graph (KG), ...

Knowledge Graph Embedding with 3D Compound Geometric ...

Request PDF | On Jan 1, 2024, Xiou Ge and others published Knowledge Graph Embedding with 3D Compound Geometric Transformations | Find, read and cite all ...

Knowledge Graph Embedding | Papers With Code

Knowledge Graph Embedding with 3D Compound Geometric Transformations · hughxiouge/CompoundE3D • • 1 Apr 2023. The cascade of 2D geometric transformations were ...

3D Rotation and Translation for Hyperbolic Knowledge Graph ...

The main objective of Knowledge Graph (KG) embeddings is to learn low-dimensional repre- sentations of entities and relations, enabling the.

Xiou Ge | Papers With Code

Knowledge Graphs +2 · Paper · Add Code · Knowledge Graph Embedding with 3D Compound Geometric Transformations · 1 code implementation • 1 Apr 2023 • Xiou Ge, ...

LIANGKE23/Awesome-Knowledge-Graph-Reasoning: AKGR - GitHub

Knowledge Graph Embedding with 3D Compound Geometric Transformations, arXiv, Transductive, Link, -. 2023, EXPRESSIVE, EXPRESSIVE: A SPATIO-FUNCTIONAL EMBEDDING ...

3D Rotation and Translation for Hyperbolic Knowledge Graph ...

The main objective of Knowledge Graph (KG) embeddings is to learn low-dimensional representations of entities and relations, enabling the prediction of missing ...

‪Yun-Cheng Wang‬ - ‪Google Scholar‬

Knowledge graph embedding with 3d compound geometric transformations. X Ge, YC Wang, B Wang, CCJ Kuo. APSIPA Transactions on Signal and Information Processing ...

Compounding Geometric Operations for Knowledge Graph ...

Since translation, ro- tation, and scaling operations are cascaded to form a compound operation, the proposed KGE model is named CompoundE.

Knowledge Graph Embedding: A Survey from the Perspective of ...

2. Three perspectives and corresponding instances for introducing representation spaces in KGE: algebraic structure (a), geometric structure (b) and analytical ...

An enhanced non-commutative representation for knowledge graph ...

on training knowledge graph embeddings. View more references. Cited by (19). Knowledge Graph Embedding with 3D Compound Geometric ...

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Knowledge Graph Embedding with 3D Compound Geometric Transformations · pdf icon · 03 Apr 2023 · OpenReview Archive Direct Upload · Readers: Everyone ...

TranSHER: Translating Knowledge Graph Embedding with Hyper ...

Knowledge Graph Embedding with 3D Compound Geometric Transformations · Xiou GeYun Cheng WangBin WangC. J. Kuo. Computer Science, Mathematics. APSIPA ...

Knowledge Graph Embedding: A Survey from the Perspective of ...

Knowledge graph embedding with 3D compound geometric transformations. arXiv ... Concept2Box: Joint geometric embeddings for learning two-view knowledge graphs.

A knowledge graph entity type prediction method via complex space ...

Knowledge Graph Embedding with 3D Compound Geometric Transformations. 2024, APSIPA Transactions on Signal and Information Processing. Knowledge Graph ...