graph-learning

Graph learning involves techniques designed to analyze and model data represented as graphs, where entities are nodes and relationships are edges. This approach is particularly useful in scenarios such as social network analysis and recommendation systems. Graph neural networks are a popular method for learning from such data, enabling the model to capture complex relationships and dependencies.