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Yunwu Liu

Showing results (1-10 of 7) with videos related to

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Journal of Molecular Graphics & Modelling|January 16, 2024
INTransformer: Data augmentation-based contrastive learning by injecting noise into transformer for molecular property predictionJing Jiang, Yachao Li, Ruisheng Zhang, et al.
Interdisciplinary Sciences, Computational Life Sciences|March 8, 2024
GraphsformerCPI: Graph Transformer for Compound-Protein Interaction PredictionJun Ma, Zhili Zhao, Tongfeng Li, et al.
Interdisciplinary Sciences, Computational Life Sciences|May 6, 2024
A Multi-view Molecular Pre-training with Generative Contrastive LearningYunwu Liu, Ruisheng Zhang, Yongna Yuan, et al.
Journal of Molecular Graphics & Modelling|October 15, 2022
MolRoPE-BERT: An enhanced molecular representation with Rotary Position Embedding for molecular property predictionYunwu Liu, Ruisheng Zhang, Tongfeng Li, et al.
Journal of Molecular Graphics & Modelling|August 22, 2022
A deep learning method for predicting molecular properties and compound-protein interactionsJun Ma, Ruisheng Zhang, Tongfeng Li, et al.
Bioinformatics (Oxford, England)|August 12, 2022
MultiGran-SMILES: multi-granularity SMILES learning for molecular property predictionJing Jiang, Ruisheng Zhang, Zhili Zhao, et al.
Applied Intelligence (Dordrecht, Netherlands)|November 21, 2022
TranGRU: focusing on both the local and global information of molecules for molecular property predictionJing Jiang, Ruisheng Zhang, Jun Ma, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Journal of Molecular Graphics & Modelling|January 16, 2024
INTransformer: Data augmentation-based contrastive learning by injecting noise into transformer for molecular property predictionJing Jiang, Yachao Li, Ruisheng Zhang, et al.
Interdisciplinary Sciences, Computational Life Sciences|March 8, 2024
GraphsformerCPI: Graph Transformer for Compound-Protein Interaction PredictionJun Ma, Zhili Zhao, Tongfeng Li, et al.
Interdisciplinary Sciences, Computational Life Sciences|May 6, 2024
A Multi-view Molecular Pre-training with Generative Contrastive LearningYunwu Liu, Ruisheng Zhang, Yongna Yuan, et al.
Journal of Molecular Graphics & Modelling|October 15, 2022
MolRoPE-BERT: An enhanced molecular representation with Rotary Position Embedding for molecular property predictionYunwu Liu, Ruisheng Zhang, Tongfeng Li, et al.
Journal of Molecular Graphics & Modelling|August 22, 2022
A deep learning method for predicting molecular properties and compound-protein interactionsJun Ma, Ruisheng Zhang, Tongfeng Li, et al.
Bioinformatics (Oxford, England)|August 12, 2022
MultiGran-SMILES: multi-granularity SMILES learning for molecular property predictionJing Jiang, Ruisheng Zhang, Zhili Zhao, et al.
Applied Intelligence (Dordrecht, Netherlands)|November 21, 2022
TranGRU: focusing on both the local and global information of molecules for molecular property predictionJing Jiang, Ruisheng Zhang, Jun Ma, et al.
Pageof 1