How are graphs used in machine learning?

How are graphs used in machine learning?

Graphs are used in machine learning to represent relationships between data points, enabling better analysis and predictions.

Can you give me an example of a graph used in a machine learning model?

Sure! A common example is a social network graph, where nodes represent users and edges represent their connections.

What are some algorithms that utilize graphs?

Algorithms like Graph Neural Networks (GNNs) and PageRank use graphs to process and analyze data effectively.

How do graphs improve the performance of machine learning models?

Graphs help capture complex relationships and dependencies in data, leading to more accurate predictions and insights.