Leveraging knowledge from electronic health records (EHRs) to predict a
...
While graph neural networks (GNNs) have been successful for node
classif...
Recent contrastive learning methods have shown to be effective in variou...
Recently, graph neural networks (GNNs) have been widely used for documen...
We have been witnessing the usefulness of conversational AI systems such...
Manually annotated data is key to developing text-mining and
information...
Capturing the semantics of related biological concepts, such as genes an...
Capturing sentence semantics plays a vital role in a range of text minin...
Publications in the life sciences are characterized by a large technical...
Network biology has been successfully used to help reveal complex mechan...
The main approach of traditional information retrieval (IR) is to examin...