Author

Xuejun Liu

Nanjing Tech UniversityORCID 0009-0005-0130-9952Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:contrastive learning· 2 Research Focus:drug response / drug discovery· 2 Approach:graph neural network· 2 Approach:deep learning· 1 Assay:proteomics· 1

Frequent Co-Authors

Hui LiuiD· 2 shared Lei DengiD· 2 shared Jinxian WangiD· 1 shared Siyuan SheniD· 1 shared Yibiao Huang· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 8 mutual co-author links

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2 shared papersBioinformatics

Hui LiuORCID

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2 papers

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BioinformaticsBriefings in BioinformaticsPeer-reviewedAug 6, 2022

Attention-wise masked graph contrastive learning for predicting molecular property

Hui Liu, Yibiao Huang, Xuejun Liu, Lei Deng

This paper introduces a self-supervised learning method, ATMOL, for molecular property prediction using attention-wise graph masking and contrastive learning, achieving state-of-the-art performance.

43 citationstop 3%

contrastive learninggraph neural network

𝕏 PostBluesky

BioinformaticsBriefings in BioinformaticsPeer-reviewedSep 8, 2021

DeepDDS: deep graph neural network with attention mechanism to predict synergistic drug combinations

Jinxian Wang, Xuejun Liu, Siyuan Shen…·Hui Liu

DeepDDS uses a graph neural network with attention to predict synergistic drug combinations, outperforming existing methods on benchmark and independent test data.

267 citationstop 1%

proteomicsdeep learning

𝕏 PostBluesky