A Hybrid VAE Based Network Embedding Method for Biomedical Relation Mining
- 20 February 2021
- journal article
- research article
- Published by Springer Science and Business Media LLC in Neural Processing Letters
- Vol. 55 (1), 1-12
- https://doi.org/10.1007/s11063-021-10454-5
Abstract
No abstract availableKeywords
Funding Information
- The Fundamental Research Funds for the Central University, JLU
- National Natural Science Foundation of China (61702214)
- Jilin Provincial Key Laboratory of Big Data Intelligent Computing (20180622002JC)
- Development Project of Jilin Province of China (20200801033GH, 2020122328JC)
This publication has 27 references indexed in Scilit:
- node2vecPublished by Association for Computing Machinery (ACM) ,2016
- A method for exploring implicit concept relatedness in biomedical knowledge networkBMC Bioinformatics, 2016
- Gene-Disease Interaction Retrieval from Multiple Sources: A Network Based MethodBioMed Research International, 2016
- Protein complex detection in PPI networks based on data integration and supervised learning methodBMC Bioinformatics, 2015
- Extracting drug–drug interactions from literature using a rich feature-based linear kernel approachJournal of Biomedical Informatics, 2015
- DeepWalkPublished by Association for Computing Machinery (ACM) ,2014
- Inductive matrix completion for predicting gene–disease associationsBioinformatics, 2014
- Correction: Prediction and Validation of Gene-Disease Associations Using Methods Inspired by Social Network AnalysesPLOS ONE, 2013
- Prediction and Validation of Gene-Disease Associations Using Methods Inspired by Social Network AnalysesPLOS ONE, 2013
- Nonlinear Dimensionality Reduction by Locally Linear EmbeddingScience, 2000