{"version":"1.0","type":"rich","provider_name":"gaks.ai AI Glossary","provider_url":"https://gaks.ai/glossary","title":"Graph Neural Network — AI Glossary","author_name":"Glenn Katrud Solheim","author_url":"https://gaks.ai","width":600,"height":200,"html":"

AI Glossary — gaks.ai

Graph Neural Network (GNN)

A neural network architecture designed to operate on graph-structured data, where information is represented as nodes and edges rather than sequences or grids. GNNs learn representations by aggregating information from a node's neighbors, making them well-suited for tasks like social network analysis, molecular property prediction, and knowledge graph reasoning. See also: knowledge graph, neural network, embedding.

Source: gaks.ai/glossary/graph-neural-network →
"}