Agent Engineering
Graph Neural Network
A graph neural network is a neural model that uses graph structure, often combining information from neighboring nodes with node or edge features. Architectures choose different aggregation and update rules. Learned predictions depend on data and training; merely averaging neighboring numbers is a teaching calculation, not evidence of trained-model accuracy.
Also called: GNN
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Member lesson
The definition and sources are public. The complete practical lesson is for members.