Graph Neural Networks (GNNs) have emerged as a versatile framework for learning from graph-structured data by propagating and aggregating node and edge features along the topology. Methodological ...

Graph neural networks (GNNs) have emerged as a transformative approach for analysing complex brain networks derived from neuroimaging modalities. By representing brain regions as nodes and their ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...