Author

Megh Manoj Bhalerao

University of Washington

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:contrastive learning· 1 Research Focus:database / resource· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1

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BioinformaticsbioRxivPreprintNov 29, 2021

GraphPrompt: Biomedical Entity Normalization Using Graph-based Prompt Templates

Jiayou Zhang, Zhirui Wang, Shizhuo Zhang…·Sheng Wang

This paper introduces GraphPrompt, a graph-based prompt learning method for biomedical entity normalization, improving performance on zero-shot and few-shot settings using a curated dataset of entity-synonym pairs.

4 citations

graph neural networkcontrastive learning

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