Predicting protein and pathway associations for understudied dark kinases using pattern-constrained knowledge graph embedding. [PDF]
Salcedo MV +5 more
europepmc +1 more source
Combining the External Medical Knowledge Graph Embedding to Improve the Performance of Syndrome Differentiation Model. [PDF]
Ye Q, Yang R, Cheng CL, Peng L, Lan Y.
europepmc +1 more source
Ensembles of knowledge graph embedding models improve predictions for drug discovery. [PDF]
Rivas-Barragan D +3 more
europepmc +1 more source
Molecular-evaluated and explainable drug repurposing for COVID-19 using ensemble knowledge graph embedding. [PDF]
Islam MK +5 more
europepmc +1 more source
The current static detection method of network source code vulnerabilities mainly relies on the static analysis of binary code. However, due to the failure to fully simulate the actual operating environment of programs, some vulnerabilities that trigger ...
Peng Xiao +3 more
doaj +1 more source
MedGraph: A semantic biomedical information retrieval framework using knowledge graph embedding for PubMed. [PDF]
Ebeid IA.
europepmc +1 more source
Music recommendation algorithms based on knowledge graph and multi-task feature learning
During music recommendation scenarios, sparsity and cold start problems are inevitable. Auxiliary information has been utilized in music recommendation algorithms to provide users with more accurate music recommendation results.
Xinqiao Liu +2 more
doaj +1 more source
Multimodal reasoning based on knowledge graph embedding for specific diseases. [PDF]
Zhu C +5 more
europepmc +1 more source
Enhancing drug-drug interaction prediction by three-way decision and knowledge graph embedding. [PDF]
Hao X +7 more
europepmc +1 more source
Prediction of Drug-Target Interaction Using Dual-Network Integrated Logistic Matrix Factorization and Knowledge Graph Embedding. [PDF]
Li J, Yang X, Guan Y, Pan Z.
europepmc +1 more source

