GLOSSARY TERM
What is Graph Neural Network?
A class of neural networks designed to process data described by graphs.
GNNs capture the dependence of graphs via message passing between the nodes. They excel at analyzing complex relationships and topological structures, making them ideal for social network analysis, molecular chemistry, and logistics.
Network Analysis
Model complex operational relationships effectively with structural intelligence.