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Knowledge Graph Embeddings in the Biomedical Domain: Are They Useful? A
  Look at Link Prediction, Rule Learning, and Downstream Polypharmacy Tasks

Knowledge Graph Embeddings in the Biomedical Domain: Are They Useful? A Look at Link Prediction, Rule Learning, and Downstream Polypharmacy Tasks

31 May 2023
Aryo Pradipta Gema
Dominik Grabarczyk
Wolf De Wulf
Piyush Borole
J. Alfaro
Pasquale Minervini
Antonio Vergari
A. Rajan
ArXivPDFHTML

Papers citing "Knowledge Graph Embeddings in the Biomedical Domain: Are They Useful? A Look at Link Prediction, Rule Learning, and Downstream Polypharmacy Tasks"

4 / 4 papers shown
Title
What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)?
What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)?
Lorenzo Loconte
Antonio Mari
G. Gala
Robert Peharz
Cassio de Campos
Erik Quaeghebeur
G. Vessio
Antonio Vergari
60
10
0
12 Sep 2024
Mining On Alzheimer's Diseases Related Knowledge Graph to Identity
  Potential AD-related Semantic Triples for Drug Repurposing
Mining On Alzheimer's Diseases Related Knowledge Graph to Identity Potential AD-related Semantic Triples for Drug Repurposing
Yi Nian
Xinyue Hu
Rui Zhang
Jingna Feng
Jingcheng Du
Fang Li
Yong Chen
Cui Tao
16
17
0
17 Feb 2022
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CE
GNN
147
5,457
0
20 Dec 2018
Embedding Entities and Relations for Learning and Inference in Knowledge
  Bases
Embedding Entities and Relations for Learning and Inference in Knowledge Bases
Bishan Yang
Wen-tau Yih
Xiaodong He
Jianfeng Gao
Li Deng
NAI
39
3,174
0
20 Dec 2014
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