Hui Yu

Orcid: 0000-0002-5314-8127

Affiliations:
  • Northwestern Polytechnical University, School of Computer Science, China


According to our database1, Hui Yu authored at least 15 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Data Augmentation Generated by Generative Adversarial Network for Small Sample Datasets Clustering.
Neural Process. Lett., December, 2023

Attention-based cross domain graph neural network for prediction of drug-drug interactions.
Briefings Bioinform., July, 2023

DGANDDI: Double Generative Adversarial Networks for Drug-Drug Interaction Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

MTGL-ADMET: A Novel Multi-task Graph Learning Framework for ADMET Prediction Enhanced by Status-Theory and Maximum Flow.
Proceedings of the Research in Computational Molecular Biology, 2023

2022
RANEDDI: Relation-aware network embedding for drug-drug interaction prediction.
Inf. Sci., 2022

Predict multi-type drug-drug interactions in cold start scenario.
BMC Bioinform., 2022

STNN-DDI: a Substructure-aware Tensor Neural Network to predict Drug-Drug Interactions.
Briefings Bioinform., 2022

Drug-drug interaction prediction with learnable size-adaptive molecular substructures.
Briefings Bioinform., 2022

Directed graph attention networks for predicting asymmetric drug-drug interactions.
Briefings Bioinform., 2022

2021
A three-way density peak clustering method based on evidence theory.
Knowl. Based Syst., 2021

SSI-DDI: substructure-substructure interactions for drug-drug interaction prediction.
Briefings Bioinform., 2021

2019
Detecting drug communities and predicting comprehensive drug-drug interactions via balance regularized semi-nonnegative matrix factorization.
J. Cheminformatics, 2019

Emergency Alternative Selection Based on an E-IFWA Approach.
IEEE Access, 2019

2018
Predicting and understanding comprehensive drug-drug interactions via semi-nonnegative matrix factorization.
BMC Syst. Biol., 2018

2017
Identifying Top-K Important Nodes Based on Probabilistic-Jumping Random Walk in Complex Networks.
Proceedings of the Complex Networks & Their Applications VI, 2017


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