Extracting Biomedical Entity Relations using Biological Interaction Knowledge.
Sign Up to like & getrecommendations! Published in 2021 at "Interdisciplinary sciences, computational life sciences"
DOI: 10.1007/s12539-021-00425-8
Abstract: Discovering relations of cross-type biomedical entities is crucial for biology research. A large amount of potential or indirect connected biological relations is hidden in millions of biomedical literatures and biological databases. The previous rules-based and… read more here.
Keywords: extracting biomedical; knowledge; biomedical entity; entity ... See more keywords
Multi-View Graph Neural Architecture Search for Biomedical Entity and Relation Extraction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2022.3205113
Abstract: Recently, graph neural architecture search (GNAS) frameworks have been successfully used to automatically design the optimal neural architectures for many problems such as node classification and graph classification. In the existing GNAS frameworks, the designed… read more here.
Keywords: view; view graph; relation extraction; multi view ... See more keywords