Kaixian Yu

Jul 5, 2024 | biorxiv.org | Yue Yang |Hongtu Zhu |Kaixian Yu |Shan Gao

AbstractBackground: Alzheimer disease (AD), a progressive neurodegenerative disorder, continues to increase in prevalence without any effective treatments to date. In this context, knowledge graphs (KGs) have emerged as a pivotal tool in biomedical research, offering new perspectives on drug repurposing and biomarker discovery by analyzing intricate network structures.

Dec 12, 2023 | biorxiv.org | Yuan Zhang |Feng Pan |Xin Sui |Kaixian Yu

AbstractTo cope with the rapid growth of scientific publications and data in biomedical research, knowledge graphs (KGs) have emerged as a powerful data structure for integrating large volumes of heterogeneous data to facilitate accurate and efficient information retrieval and automated knowledge discovery (AKD). However, transforming unstructured content from scientific literature into KGs has remained a significant challenge, with previous methods unable to achieve human-level accuracy.

Oct 17, 2023 | biorxiv.org | Yuan Zhang |Feng Pan |Xin Sui |Kaixian Yu

AbstractTo cope with the rapid growth of scientific publications and data in biomedical research, knowledge graphs (KGs) have emerged as a powerful data structure for integrating large volumes of heterogeneous data to facilitate accurate and efficient information retrieval and automated knowledge discovery (AKD). However, transforming unstructured content from scientific literature into KGs has remained a significant challenge, with previous methods unable to achieve human-level accuracy.