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Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning

Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning

Chi Han
Qizheng He
Charles Yu
Xinya Du
Hanghang Tong
Heng Ji
ArXiv (abs)PDFHTML

Papers citing "Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning"

3 / 3 papers shown
Title
Deep Sparse Latent Feature Models for Knowledge Graph Completion
Deep Sparse Latent Feature Models for Knowledge Graph Completion
Haotian Li
Rui Zhang
Lingzhi Wang
Bin Yu
Yuanbo Wang
Yuliang Wei
Kai Wang
Richard Y. D. Xu
Bailing Wang
BDL
141
0
0
24 Nov 2024
CaLa: Complementary Association Learning for Augmenting Composed Image Retrieval
CaLa: Complementary Association Learning for Augmenting Composed Image Retrieval
Xintong Jiang
Yaxiong Wang
Mengjian Li
Yujiao Wu
Bingwen Hu
Xueming Qian
CoGe
82
7
0
29 May 2024
KERMIT: Knowledge Graph Completion of Enhanced Relation Modeling with Inverse Transformation
KERMIT: Knowledge Graph Completion of Enhanced Relation Modeling with Inverse Transformation
Haotian Li
Lingzhi Wang
Yuliang Wei
Richard Y. D. Xu
Bailing Wang
Bailing Wang
124
3
0
26 Sep 2023

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