Knowledge graphs are a powerful tool for bringing together information from biological databases and linking what is already ...

High-dimensional -omics data such as genomic, transcriptomic, and metabolomic data offer great promise in advancing precision medicine. In particular, such data have enabled the investigation of ...

Knowledge graphs are a powerful tool for bringing together information from biological databases and linking what is already ...

If open source is the new normal in enterprise software, then that certainly holds for databases, too. In that line of thinking, Github is where it all happens. So to have been favorited 10.000 times ...

New AI-enabled research tool, Cardiovascular Knowledge Graph (CardioKG), connects heart scans with genetics, boosting drug ...

Graph machine learning (or graph model), represented by graph neural networks, employs machine learning (especially deep learning) to graph data and is an important research direction in the ...

CardioKG could enhance drug discovery for heart disease by integrating imaging data and biological information, improving ...

Google published details of a new kind of AI based on graphs called a Graph Foundation Model (GFM) that generalizes to previously unseen graphs and delivers a three to forty times boost in precision ...