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

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

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

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 ...

Understanding how cells decide their fate is a central challenge in biology, complicated by the fact that single-cell RNA ...

The National Medical Commission (NMC) has released the official NEET UG 2026 syllabus, outlining the topics to be covered in ...

Abstract: Graphs provide ubiquitous powerful representations of interacting components in many complex systems. In molecular biology, graphs are used to represent interactions between molecular ...

Abstract: Recent progress in research on deep graph networks (DGNs) has led to a maturation of the domain of learning on graphs. Despite the growth of this research field, there are still important ...