Junyi Li
Orcid: 0000-0001-8045-5264Affiliations:
- Harbin Institute of Technology (Shenzhen), School of Computer Science and Technology, Shenzhen, China
- Harbin Institute of Technology (Shenzhen), Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies, Shenzhen, China
According to our database1,
Junyi Li
authored at least 35 papers
between 2016 and 2025.
Collaborative distances:
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Bibliography
2025
MSNGO: multi-species protein function annotation based on 3D protein structure and network propagation.
CoRR, March, 2025
MKDTI: Predicting Drug-Target Interactions via Multiple Kernel Fusion on Graph Attention Network.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025
E-MSNGO: Explainable Multi-species Protein Function Prediction Model Based on Aggregated Networks.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025
2024
Database J. Biol. Databases Curation, January, 2024
circ2DGNN: circRNA-Disease Association Prediction via Transformer-Based Graph Neural Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024
MKDTI: Predicting drug-target interactions via multiple kernel fusion on graph attention network.
CoRR, 2024
PF2PI: Protein Function Prediction Based on AlphaFold2 Information and Protein-Protein Interaction.
Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024
SLGNNCT: Synthetic Lethality Prediction Based on Knowledge Graph for Different Cancers Types.
Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024
2023
Struct2GO: protein function prediction based on graph pooling algorithm and AlphaFold2 structure information.
Bioinform., October, 2023
Briefings Bioinform., September, 2023
SLGNN: synthetic lethality prediction in human cancers based on factor-aware knowledge graph neural network.
Bioinform., February, 2023
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
PSPGO: Cross-Species Heterogeneous Network Propagation for Protein Function Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
NIEE: Modeling Edge Embeddings for Drug-Disease Association Prediction via Neighborhood Interactions.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
2022
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Mixed-protocol multi-party computation framework towards complex computation tasks with malicious security.
Comput. Stand. Interfaces, 2022
Comput. Biol. Chem., 2022
Prediction of the disease causal genes based on heterogeneous network and multi-feature combination method.
Comput. Biol. Chem., 2022
NSAP: A Neighborhood Subgraph Aggregation Method for Drug-Disease Association Prediction.
Proceedings of the Intelligent Computing Theories and Application, 2022
2021
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
ScGSLC: An unsupervised graph similarity learning framework for single-cell RNA-seq data clustering.
Comput. Biol. Chem., 2021
BMC Bioinform., 2021
Factor graph-aggregated heterogeneous network embedding for disease-gene association prediction.
BMC Bioinform., 2021
Proceedings of the Intelligent Computing Theories and Application, 2021
2020
Prognostic prediction of carcinoma by a differential-regulatory-network-embedded deep neural network.
Comput. Biol. Chem., 2020
HGAlinker: Drug-Disease Association Prediction Based on Attention Mechanism of Heterogeneous Graph.
Proceedings of the Intelligent Computing Theories and Application, 2020
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
BMC Bioinform., 2019
Bioinform., 2019
Proceedings of the Intelligent Computing Theories and Application, 2019
2018
DeepDNA: a hybrid convolutional and recurrent neural network for compressing human mitochondrial genomes.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
rMFilter: acceleration of long read-based structure variation calling by chimeric read filtering.
Bioinform., 2017
Differential regulation analysis reveals dysfunctional regulatory mechanism involving transcription factors and microRNAs in gastric carcinogenesis.
Artif. Intell. Medicine, 2017
2016
A novel integrated gene coexpression analysis approach reveals a prognostic three-transcription-factor signature for glioma molecular subtypes.
BMC Syst. Biol., 2016