Block-Diagonal Orthogonal Relation and Matrix Entity for Knowledge Graph Embedding

11 January 2024

Papers citing "Block-Diagonal Orthogonal Relation and Matrix Entity for Knowledge Graph Embedding"

7 / 7 papers shown

Title
HittER: Hierarchical Transformers for Knowledge Graph Embeddings Sanxing Chen Xiaodong Liu Jianfeng Gao Jian Jiao Ruofei Zhang Yangfeng Ji 50 111 0 28 Aug 2020
DensE: An Enhanced Non-commutative Representation for Knowledge Graph Embedding with Adaptive Semantic Hierarchy H. Lu Hailin Hu Xiaodong Lin 42 27 0 11 Aug 2020
Geoopt: Riemannian Optimization in PyTorch Max Kochurov R. Karimov Sergei Kozlukov 66 123 0 06 May 2020
Multi-relational Poincaré Graph Embeddings Ivana Balazevic Carl Allen Timothy M. Hospedales 68 267 0 23 May 2019
Convolutional 2D Knowledge Graph Embeddings Tim Dettmers Pasquale Minervini Pontus Stenetorp Sebastian Riedel GNN 3DV 183 2,610 0 05 Jul 2017
On orthogonality and learning recurrent networks with long term dependencies Eugene Vorontsov C. Trabelsi Samuel Kadoury C. Pal ODL 75 241 0 31 Jan 2017
Embedding Entities and Relations for Learning and Inference in Knowledge Bases Bishan Yang Wen-tau Yih Xiaodong He Jianfeng Gao Li Deng NAI 93 3,192 0 20 Dec 2014