Junliang Shang

80 Yantai North Road
Rizhao, 276826, China

Last Updated: 09/26/2026

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Found 89 publications

SpaVGMC: A Unified Representation Learning Framework via Structural and Semantic Alignment in Spatial Transcriptomics.

SpaVGMC: A Unified Representation Learning Framework via Structural and Semantic Alignment in Spatial Transcriptomics.

Journal: Journal of chemical information and modeling

Published: June 08, 2026

scFNSA: A Factorized Node-Set Attentive Framework for Single-Cell Multi-Omics Integration.

scFNSA: A Factorized Node-Set Attentive Framework for Single-Cell Multi-Omics Integration.

Journal: Journal of chemical information and modeling

Published: April 29, 2026

MRGBMDAT: a multi-relational graph encoder network with bilinear fusion for miRNA-disease association type prediction.

MRGBMDAT: a multi-relational graph encoder network with bilinear fusion for miRNA-disease association type prediction.

Journal: Bioinformatics (Oxford, England)

Published: April 16, 2026

Prediction of multicategory miRNA-disease associations based on bidirectional hypergraph attention network and gated convolutional strategy.

Prediction of multicategory miRNA-disease associations based on bidirectional hypergraph attention network and gated convolutional strategy.

Journal: Journal of computer-aided molecular design

Published: April 04, 2026

MHNNMDA: multi-stage hypergraph neural network for predicting miRNA-disease association types.

MHNNMDA: multi-stage hypergraph neural network for predicting miRNA-disease association types.

Journal: Journal of computer-aided molecular design

Published: March 07, 2026

DHGCMDA: a dual-view heterogeneous graph contrastive learning framework for miRNA-disease association type prediction.

DHGCMDA: a dual-view heterogeneous graph contrastive learning framework for miRNA-disease association type prediction.

Journal: BMC bioinformatics

Published: February 05, 2026

scACAN: An Adaptive Learning Framework Aggregating Local Graph Structure Context for Rare Cell Type Identification.

scACAN: An Adaptive Learning Framework Aggregating Local Graph Structure Context for Rare Cell Type Identification.

Journal: Journal of chemical information and modeling

Published: January 23, 2026

MsDGCN: multi-scale diffusion graph convolutional network for the prediction of drug-disease association.

MsDGCN: multi-scale diffusion graph convolutional network for the prediction of drug-disease association.

Journal: Journal of computer-aided molecular design

Published: January 21, 2026

AGSI: Adaptive group-enhanced strategy for iterative integration of single-cell multi-omics.

AGSI: Adaptive group-enhanced strategy for iterative integration of single-cell multi-omics.

Journal: Computer methods and programs in biomedicine

Published: January 15, 2026

From Cell-Free Transcriptomes to Single-Cell Landscapes: Biomarker Discovery and Originating Cell Alteration Analysis via Graph Matrix Factorization.

From Cell-Free Transcriptomes to Single-Cell Landscapes: Biomarker Discovery and Originating Cell Alteration Analysis via Graph Matrix Factorization.

Journal: Advanced science (Weinheim, Baden-Wurttemberg, Germany)

Published: December 30, 2025

scLGGCL: Label-Guided Graph Contrastive Learning for Single-Cell Fusion Clustering.

scLGGCL: Label-Guided Graph Contrastive Learning for Single-Cell Fusion Clustering.

Journal: Interdisciplinary sciences, computational life sciences

Published: December 16, 2025

Epileptic Seizure Prediction Using Multi-Strategy Data Augmentation and Hierarchical Contrastive Learning.

Epileptic Seizure Prediction Using Multi-Strategy Data Augmentation and Hierarchical Contrastive Learning.

Journal: IEEE journal of biomedical and health informatics

Published: September 05, 2025

Showing 1-12 of 89

Last Updated: 09/26/2026