Network motif discovery seeks to identify small, recurrent subgraph patterns that recur more frequently than expected by chance within biological networks. These motifs are considered the building ...

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

Graph neural networks (GNNs) have emerged as a powerful framework for analyzing and learning from structured data represented as graphs. GNNs operate directly on graphs, as opposed to conventional ...

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

Graphs are widely used to represent complex relationships in everyday applications such as social networks, bioinformatics, and recommendation ...

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