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Structure-aware siamese graph neural networks for encounter-level patient similarity learning.

Y. Gu, X. Yang, L. Tian, H. Yang, J. Lv, C. Yang, J. Wang, J. Xi, G. Kong, and W. Zhang. J. Biomed. Informatics, (2022)

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Jianing Liu

Jianing Zhang

Jianing He

Jianing Zha

Xi Wu

Other publications of authors with the same name

HetRCNA: A Novel Method to Identify Recurrent Copy Number Alternations from Heterogeneous Tumor Samples Based on Matrix Decomposition Framework.J. Xi, A. Li, and M. Wang. IEEE ACM Trans. Comput. Biol. Bioinform., 17 (2): 422-434 (2020)LUR: An Online Learning Model for EEG Emotion Recognition.G. Cao, L. Yang, Q. Zhang, J. Xi, C. Tang, and Y. Tian. BIBM, page 1038-1045. IEEE, (2023)Tolerating Data Missing in Breast Cancer Diagnosis from Clinical Ultrasound Reports via Knowledge Graph Inference.J. Xi, L. Ye, Q. Huang, and X. Li. KDD, page 3756-3764. ACM, (2021)An efficient nonnegative matrix factorization model for finding cancer associated genes by integrating data from genome, transcriptome and interactome.J. Xi, A. Li, and M. Wang. CISS, page 1-6. IEEE, (2018)Dual-Layer Strengthened Collaborative Topic Regression Modeling for Predicting Drug Sensitivity.H. Wang, J. Xi, M. Wang, and A. Li. IEEE ACM Trans. Comput. Biol. Bioinform., 17 (2): 587-598 (2020)A parametric model for clustering single-cell mutation data.J. Yan, J. Xi, and Z. Yu. BIBM, page 253-260. IEEE, (2022)Pathological Tissue-level Contour Genomic Profile Interpretation of Lung Adenocarcinoma via Spatial and Morphological Features Co-action Graph Neural Network.Y. Yu, W. Shi, G. Xie, and J. Xi. BIBM, page 958-964. IEEE, (2023)Identification of driver network modules in protein-protein interaction network using patient mutation profiles.X. Liu, J. Xi, C. Zhang, H. Feng, A. Li, and M. Wang. CISP-BMEI, page 1-6. IEEE, (2017)Transductive Learning for BI-RADS Knowledge Graph based on Knowledge Tensor Factorization.J. Xi, Z. Miao, and Q. Huang. CISP-BMEI, page 1-5. IEEE, (2021)Cancer omic data based explainable AI drug recommendation inference: A traceability perspective for explainability.J. Xi, D. Wang, X. Yang, W. Zhang, and Q. Huang. Biomed. Signal Process. Control., 79 (Part): 104144 (2023)

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Disambiguation of "Xi, Jianing"

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Structure-aware siamese graph neural networks for encounter-level patient similarity learning.

Please choose a person to relate this publication to

Jianing Liu

Jianing Zhang

Jianing He

Jianing Zha

Xi Wu

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Xi, Jianing"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Structure-aware siamese graph neural networks for encounter-level patient similarity learning.

Please choose a person to relate this publication to

Jianing Liu

Jianing Zhang

Jianing He

Jianing Zha

Xi Wu

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Structure-aware siamese graph neural networks for encounter-level patient similarity learning.