Tag: message passing

The study's design reflects a broader tension in neuroimaging research between model complexity and data availability. Task-based fMRI experiments typically ...

Researchers have introduced HGA-Net, a hypergraph-based adapter that connects related examples within each mini-batch and achieves near-perfect fine-grained recognition with ...

Researchers have developed a dual-channel graph completion network that reconstructs missing node features and structure simultaneously while performing well even ...

A new critical review argues that topological deep learning, spanning persistent homology, simplicial and cellular complexes, and sheaf-based models, is ...

A new survey in Artificial Intelligence Review unifies graph structure learning and automated graph neural architecture search into a single ...

A new dual-graph deep learning framework called CGA-DTA conditions molecular graph topology on the binding partner and applies cross-graph attention ...