Graph neural networks are a type of neural network that is designed ... link prediction or graph classification. Graph neural networks and graph convolutional networks are both types of deep ...

Accordingly, one very popular GNN architecture is the graph convolutional neural network (GCN), which uses ... for graph neural networks: Node classification: One of the powerful applications ...

A graph convolutional network (GCN) approach allows classification of schizophrenia at the individual level, according to a study published online May 15 in Schizophrenia Bulletin. Du Lei ...

At ARVO 2025, in Salt Lake City, Utah, Patipol Tiyajamorn, talked about his poster on using graph neural networks to identify ...

or devising a dynamic graph neural network. Frontiers of Computer Science is intended to facilitate effective communication and exchanges between scientists in China and abroad. It will reflect ...