Graph Machine Learning (GML) is a field of machine learning that applies machine learning techniques to graph-structured data. It's used to analyze relationships and patterns between entities represented as nodes and edges in a graph. Common applications include social network analysis, fraud detection, recommendation systems, drug discovery, and knowledge graph completion.
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