link prediction or graph classification. Graph neural networks and graph convolutional networks are both types of deep learning methods used for analyzing graph-structured data. While they share ...

Here are a few applications for graph neural networks: Node classification: One of the powerful applications of GNNs is adding new information to nodes or filling gaps where information is missing.

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